Our Faculty

Year : 2024

Findings of the Shared Task on Multimodal Social Media Data Analysis in Dravidian Languages (MSMDA-DL)

Cite this Research Publication : Premjith B, Jyothish G, Sowmya V, Bharathi Raja Chakravarthi, K Nandhini, Rajeswari Natarajan, Abirami Murugappan, Bharathi B, Saranya Rajiakodi, Rahul Ponnusamy, Jayanth Mohan, and Mekapati Reddy. 2024. Findings of the Shared Task on Multimodal Social Media Data Analysis in Dravidian Languages (MSMDA-DL)@DravidianLangTech 2024. In Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 56–61, St. Julian's, Malta. Association for Computational Linguistics.

Publisher : Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages

Year : 2023

Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems

Cite this Research Publication : Akshay, S., E. A. Gopalakrishnan, V. Sowmya, J. Venkatramani, Dheeraj Tripathi, Jay Shankar Prasad, and Sirshendu Mondal. "Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems." IEEE Access (2023)

Year : 2023

Significance of Atrous Spatial Pyramid Pooling (ASPP) in Deeplabv3+ for Water Body Segmentation

Cite this Research Publication : Sunandini, Gosula, Ramesh Sivanpillai, V. Sowmya, and VV Sajith Variyar. "Significance of Atrous Spatial Pyramid Pooling (ASPP) in Deeplabv3+ for Water Body Segmentation." In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN), pp. 744-749. IEEE, 2023.

Publisher : IEEE

Year : 2023

Two-stage deep learning model for automate detection and classification of lung diseases

Cite this Research Publication : M. Ganeshkumar, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, K. P. Soman & M. Rupeshkumar "Two-stage deep learning model for automate detection and classification of lung diseases",

Year : 2023

Performance Improvement of Water Body Segmentation by DeeplabV3+Using Two Dimensional Variational Mode Decomposition

Cite this Research Publication : Bichu George, Variyar.V.V Sajith, V Sowmya, Ramesh Sivanpillai "Performance Improvement of Water Body Segmentation by DeeplabV3+Using Two Dimensional Variational Mode Decomposition", 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN)

Year : 2022

Artificial Intelligence Framework for COVID Protocol Detection

Cite this Research Publication : Kabilan, N., Sajith Variyar VV, P. Adithan, V. Sowmya, and PS Sai Ganesh. "Artificial Intelligence Framework for COVID Protocol Detection." In 2022 3rd International Conference on Computing, Analytics and Networks (ICAN), pp. 1-4. IEEE, 2022.

Publisher : IEEE

Year : 2022

Influence of Additional Spectral Bands for Epiphyte Segmentation on Dru-Net

Cite this Research Publication : Menona, Anjana K., V. V. Sajithvariyar, Ramesh Sivanpillaib, Sowmya Va, Gregory K. Brownc, and K. P. Somana. "Influence of Additional Spectral Bands for Epiphyte Segmentation on Dru-Net." ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 46 (2022): 159-163.

Publisher : ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Year : 2022

Multiple Oil Pad Detection Using Deep Learning

Cite this Research Publication : Giri, A., V. V. Sajith Variyar, V. Sowmya, R. Sivanpillai, and K. P. Soman. "Multiple Oil Pad Detection Using Deep Learning." ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 46 (2022): 91-96.

Publisher : ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Year : 2022

Extracting Water Bodies in RGB Images Using DEEPLABV3+ Algorithm

Cite this Research Publication : Harika, A., R. Sivanpillai, V. V. Sajith Variyar, and V. Sowmya. "Extracting Water Bodies in RGB Images Using DEEPLABV3+ Algorithm." ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 46 (2022): 97-101.

Publisher : ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 

Year : 2022

MARS: A Hybrid Deep CNN-based Multi-Accent Recognition System for English Language

Cite this Research Publication : Darshana, S., Theivaprakasham, H., Jyothish Lal, G., Premjith, B., Sowmya, V., Soman, K. P., "MARS: A Hybrid Deep CNN-based Multi-Accent Recognition System for English Language" (2022) 2022 1st International Conference on Artificial Intelligence Trends and Pattern Recognition, ICAITPR 2022, DOI: 10.1109/ICAITPR51569.2022.9844177

Publisher : ICAITPR

Year : 2021

Parkinson’s Disease Classification from Magnetic Resonance Images (MRI) using Deep Transfer Learned Convolutional Neural Networks

Cite this Research Publication : Veetil, I. K., Gopalakrishnan, E. A., Sowmya, V. and Soman, K. P. “Parkinson’s disease classification from Magnetic Resonance Images using deep transfer learned Convolutional Neural Networks”, Proceedings of 18th Indian Council International Conference, INDICON (2021).

Publisher : INDICON

Year : 2021

Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification Using Spectrogram

Cite this Research Publication : Kesav, R. Sai, M. Bhanu Prakash, Krishanth Kumar, V. Sowmya, and K. P. Soman. "Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification Using Spectrogram." In International Conference on Advances in Computing and Data Sciences, pp. 538-549. Springer, Cham, 2021.

Publisher : Springer

Year : 2021

Early Warning Indicators for Financial Crisis During Covid-19

Cite this Research Publication : Modi, A., Jyothish Lal, G., Gopalakrishnan, E. A., Sowmya, V., Soman, K. P. and Vinayakumar, R. “Early warning indicators of financial crisis during Covid-19”, Communications in Computer and Information Science (2022), 1528, 229-243.

Publisher : Springer

Year : 2021

Analysis of Four Generator Architectures of C-Gan, Loss Function, and Annotation Method for Epiphyte Identification

Cite this Research Publication : Sajith Variyar V. V., Aswin Sunil, Sowmya V., Dr. Soman K. P., Ramesh Sivanpillai, and Greg Brown, “Analysis of Four Generator Architectures of C-Gan, Loss Function, and Annotation Method for Epiphyte Identification”, in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021.

Publisher : Remote Sensing and Spatial Information Sciences

Year : 2021

Identifying Oil Pads in High Spatial Resolution Aerial Images Using Faster R-Cnn

Cite this Research Publication : Aswin Sunil, Sajith Variyar V. V., Sowmya V., Ramesh Sivanpillai, and Dr. Soman K. P., “Identifying Oil Pads in High Spatial Resolution Aerial Images Using Faster R-Cnn”, in ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021.

Publisher : ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Year : 2021

Optimizing Low-Cost Uav Aerial Image Mosaicing for Crop Growth Monitoring

Cite this Research Publication : P. Bupathy, Ramesh Sivanpillai, Sajith Variyar V. V., and Sowmya V., “Optimizing Low-Cost Uav Aerial Image Mosaicing for Crop Growth Monitoring”, in International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences , 2021.

Publisher : International Archives of the Photogrammetry

Year : 2021

Impact of Dimension Reduced Spectral Features on Open Set Domain Adaptation for Hyperspectral Image Classification

Cite this Research Publication : K. C. S., Sowmya, V., and Dr. Soman K. P., “Impact of Dimension Reduced Spectral Features on Open Set Domain Adaptation for Hyperspectral Image Classification”, in Evolution in Computational Intelligence, Singapore, 2021.

Publisher : Springer Singapore

Year : 2021

Performance Improvement of Deep Residual Skip Convolution Neural Network for Atrial Fibrillation Classification

Cite this Research Publication : Sanjana, K., Sowmya, V., Gopalakrishnan, E. A. and Soman, K. P. “Performance improvement of deep residual skip convolution neural network for atrial fibrillation classification”. (2021). Advances in Intelligent Systems & Computing, 1176, 755-763.

Publisher : Springer Singapore

Year : 2021

Robust Malware Detection using Residual Attention Network

Cite this Research Publication : Shamika Ganesan, R. Vinayakumar, Moez Krichen, Sowmya V., Roobaea Alroobaea, and Dr. Soman K. P., “Robust Malware Detection using Residual Attention Network”, in Digest of Technical Papers - IEEE International Conference on Consumer Electronics, 2021, pp. 1-6.

Publisher : IEEE

Year : 2021

Noise Reduction of ECG using Chebyshev filter and Classification using Machine Learning Algorithms

Cite this Research Publication : Prakash, M. B, Sowmya, V., Gopalakrishnan, E. A. and Soman, K. P. “Noise reduction of ECG using Chebyshev filter and classification using machine learning algorithms”, Proceedings of International Conference on Computing, Communication and Intelligent Systems. (2021).

Publisher : IEEE

Year : 2020

Investigating the Significance of Dynamic Mode Decomposition for Fast and Accurate Parameter Estimation in Power Grids

Cite this Research Publication : Kumar, K. S., Krishna, U. V., Mohan, Neethu, Sowmya, V., Soman, K. et al. (2020). Investigating the significance of dynamic mode decomposition for fast and accurate parameter estimation in power grids. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1–5). IEEE.

Publisher : IEEE

Year : 2020

Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading

Cite this Research Publication : R. Balasubramanian, Vishvanathan, S., Gopalakrishnan, E. A., Menon, V., V, S. V., and Dr. Soman K. P., “Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading”, in 2020 11th International Conference on Computing, Communication and Networking Technologies, 2020.

Year : 2020

Deep Learning Based Approach for Multiple Myeloma Detection

Cite this Research Publication : M. T. Vyshnav, Sowmya, V., Gopalakrishnan, E. A., V.V., S. Variyar, Menon, V. Krishna, and Dr. Soman K. P., “Deep Learning Based Approach for Multiple Myeloma Detection”, in 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2020.

Publisher : IEEE

Year : 2020

Facial Emotion Recognition Using Shallow CNN

Cite this Research Publication : T. K. Sachin Saj, Babu, S., Reddy, V. Kiran, Gopika, P., Sowmya, V., and Dr. Soman K. P., “Facial Emotion Recognition Using Shallow CNN”, in Machine Learning and Metaheuristics Algorithms, and Applications, Singapore, 2020.

Publisher : Springer Singapore

Year : 2020

Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network

Cite this Research Publication : S. Sriram, R. Vinayakumar, Sowmya V., Mamoun Alazab, and Dr. Soman K. P., “Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network”, in IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Toronto, ON, Canada, 2020, pp. 740-745.

Publisher : IEEE

Year : 2020

Identifying epiphytes in drones photos with a conditional generative adversarial network (C-GAN)

Cite this Research Publication : Shashank Anivilla, Sajith Variyar V. V., Sowmya V., Dr. Soman K. P., Ramesh Sivanpillai, and Greg Brown, “Identifying epiphytes in drones photos with a conditional generative adversarial network (C-GAN)”, in ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, pp. 99-104.

Publisher : ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Year : 2020

Comparison of Image Enhancement Techniques for Rapid Processing of POST Flood Images

Cite this Research Publication : M. Harichandana, Sowmya V., Sajith Variyar V. V., and Ramesh Sivanpillai, “Comparison of Image Enhancement Techniques for Rapid Processing of POST Flood Images”, in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, pp. 45-50.

Publisher : The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Year : 2020

Effect of Data Pre-processing on Brain Tumor Classification Using Capsulenet

Cite this Research Publication : V. R. Kurup, Sowmya, V., and Dr. Soman K. P., “Effect of Data Pre-processing on Brain Tumor Classification Using Capsulenet”, in ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, Singapore, 2020.

Publisher : Springer Singapore

Year : 2020

Capsule Network for Plant Disease and Plant Species Classification

Cite this Research Publication : V. R. Kurup, Anupama, M. A., Vinayakumar, R., Sowmya, V., and Dr. Soman K. P., “Capsule Network for Plant Disease and Plant Species Classification”, in Computational Vision and Bio-Inspired Computing, Cham, 2020.

Publisher : Springer International Publishing, Cham

Year : 2020

Remote Sensing Image Super-Resolution Using Residual Dense Network

Cite this Research Publication : A. Jayanarayan, Sowmya, V., and Dr. Soman K. P., “Remote Sensing Image Super-Resolution Using Residual Dense Network”, in Advances in Intelligent Systems and Computing, Singapore, 2020.

Publisher : Springer Singapore

Year : 2020

Deep Convolutional Neural Network Based Image Spam Classification

Cite this Research Publication : S. Srinivasan, Ravi, V., V, S., Krichen, M., Ben Noureddine, D., Anivilla, S., and Dr. Soman K. P., “Deep Convolutional Neural Network Based Image Spam Classification”, in 2020 6th Conference on Data Science and Machine Learning Applications (CDMA), 2020.

Publisher : 2020 6th Conference on Data Science and Machine Learning Applications (CDMA)

Year : 2019

Performance Improvement of Deep Learning Architectures for Phonocardiogram Signal Classification using Fast Fourier Transform

Cite this Research Publication : Gopika, P., Sowmya, V., Gopalakrishnan, E. A. and Soman, K. P. “Performance Improvement of Deep Learning Architectures for Phonocardiogram Signal Classification using Fast Fourier Transform”. International Conference on Advances in Computing and Communication. November 6 – 7, 2019, Hyderabad, India.

Publisher : IEEE

Year : 2019

Convolutional Neural Networks for Placenta Cell Classification

Cite this Research Publication : E. Rohith, Sowmya, V., and Dr. Soman K. P., “Convolutional Neural Networks for Placenta Cell Classification”, in 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Kannur, India, 2019.

Publisher : IEEE

Year : 2019

Indian Car Number Plate Recognition using Deep Learning

Cite this Research Publication : N. R Babu, Sowmya, V., and Dr. Soman K. P., “Indian Car Number Plate Recognition using Deep Learning”, in 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Kannur, India, 2019.

Publisher : IEEE

Year : 2019

Spatio-Spectral Compression and Analysis of Hyperspectral Images using Tensor Decomposition

Cite this Research Publication : R. K. Renu, Sowmya, and Dr. Soman K. P., “Spatio-Spectral Compression and Analysis of Hyperspectral Images using Tensor Decomposition”, in 2018 24th National Conference on Communications, NCC 2018, Hyderabad; India, 2019.

Publisher : 2018 24th National Conference on Communications, NCC 2018

Year : 2019

Single-plane scene classification using deep convolution features

Cite this Research Publication : N. Damodaran, Sowmya, Govind, D., and Dr. Soman K. P., “Single-plane scene classification using deep convolution features”, in Advances in Intelligent Systems and Computing, 2019, vol. 900, pp. 743-752.

Publisher : Springer Verlag

Year : 2019

Opportunities and challenges of launching UAVs within wooded areas

Cite this Research Publication : Sajith Variyar V. V., Sowmya, V., Gopalakrishnan, E. A., Dr. Soman K. P., Sivanpillai, R., and Brown, G. K., “Opportunities and challenges of launching UAVs within wooded areas”, in ASPRS Annual Conference and International Lidar Mapping Forum 2019, 2019.

Publisher : ASPRS Annual Conference and International Lidar Mapping Forum 2019

Year : 2019

Dimensionally reduced features for hyperspectral image classification using deep learning

Cite this Research Publication : K. S. Charmisha, Sowmya, and Dr. Soman K. P., “Dimensionally reduced features for hyperspectral image classification using deep learning”, in Lecture Notes in Electrical Engineering, 2019, vol. 500, pp. 171-179.

Publisher : Springer Verlag

Year : 2019

Deep rectified system for high-speed tracking in images

Cite this Research Publication : V. S. Mohan, Vinayakumar, R., Sowmya, and Dr. Soman K. P., “Deep rectified system for high-speed tracking in images”, in Journal of Intelligent and Fuzzy Systems, 2019, vol. 36, pp. 1957-1965.

Publisher : IOS Press

Year : 2019

A complex network approach for plant growth analysis using images

Cite this Research Publication : Sajith, V. V., Gopalakrishnan, E. A., Sowmya, V. and Soman, K. P. “A Complex Network Approach for Plant Growth Analysis using Images”. International Conference on Communication and Signal Processing. April 4 – 6, 2019, Tamil Nadu, India.

Publisher : Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019

Year : 2019

Breast cancer classification using capsule network with preprocessed histology images

Cite this Research Publication : M. A. Anupama, Sowmya, and Dr. Soman K. P., “Breast cancer classification using capsule network with preprocessed histology images”, in Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019, Melmaruvathur; India, 2019.

Publisher : Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019

Year : 2018

Effect of dynamic mode decomposition-based dimension reduction technique on hyperspectral image classification

Cite this Research Publication : P. Megha, Sowmya, and Dr. Soman K. P., “Effect of dynamic mode decomposition-based dimension reduction technique on hyperspectral image classification”, in Lecture Notes in Electrical Engineering, 2018, vol. 490, pp. 89-99.

Publisher : Lecture Notes in Electrical Engineering

Year : 2018

Effect of decolorized images in scene classification using deep convolution features

Cite this Research Publication : N. Damodaran, Sowmya, Govind, D., and Dr. Soman K. P., “Effect of decolorized images in scene classification using deep convolution features”, in Procedia Computer Science, 2018, vol. 143, pp. 954-961.

Publisher : Procedia Computer Science

Year : 2018

Dimensionality Reduction of Hyperspectral Images for Classification using Randomized Independent Component Analysis

Cite this Research Publication : C. Jayaprakash, Damodaran, B. B., Sowmya, and Dr. Soman K. P., “Dimensionality Reduction of Hyperspectral Images for Classification using Randomized Independent Component Analysis”, in 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, Amity School of Engineering and Technology, Noida, India, 2018.

Publisher : 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, Institute of Electrical and Electronics Engineers Inc., Amity School of Engineering and Technology, Noida, India.

Year : 2018

Deep Neural Networks as Feature Extractors for Classification of Vehicles in Aerial Imagery

Cite this Research Publication : V. S. Mohan, Sowmya, and Dr. Soman K. P., “Deep Neural Networks as Feature Extractors for Classification of Vehicles in Aerial Imagery”, in 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, 2018.

Publisher : 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, Institute of Electrical and Electronics Engineers Inc.

Year : 2018

Deep alexnet with reduced number of trainable parameters for satellite image classification

Cite this Research Publication : A. Unnikrishnan, Sowmya, and Dr. Soman K. P., “Deep alexnet with reduced number of trainable parameters for satellite image classification”, in Procedia Computer Science, 2018.

Publisher : Procedia Computer Science, Elsevier B.V .

Year : 2018

A Comparative Analysis of Total Variation and Least Square Based Hyperspectral Image Denoising Methods

Cite this Research Publication : N. V. Jacob, Sowmya, and Dr. Soman K. P., “A Comparative Analysis of Total Variation and Least Square Based Hyperspectral Image Denoising Methods”, in Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018, Adhiparasakthi Engineering CollegeMelmaruvathur, Chennai; India, 2018, pp. 58-63.

Publisher : Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018

Year : 2017

Least square based image deblurring

Cite this Research Publication : Jose, S., Mohan, Neethu, Sowmya, V., & Soman, K. (2017). Least square based image deblurring. In 2017 International Conference on Advances In Computing, Communications and Informatics (ICACCI) (pp. 1453–1457). IEEE.

Publisher : IEEE

Year : 2017

Improved color scene classification system using deep belief networks and support vector machines

Cite this Research Publication : Sowmya, Ajay, A., Dr. Govind D., and Dr. Soman K. P., “Improved color scene classification system using deep belief networks and support vector machines”, in 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuching, Sarawak; Malaysia, 2017, pp. 12-14 .

Publisher : 2017 IEEE International Conference on Signal and Image Processing Applications

Year : 2017

Hyperspectral image denoising: A least square approach using wavelet filters

Cite this Research Publication : V. S. Dev, Rajan, S., Sowmya, and Dr. Soman K. P., “Hyperspectral image denoising: A least square approach using wavelet filters”, in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Manipal, Mangalore, India, 2017.

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017

Year : 2016

ℓ1 Trend Filter for Image Denoising

Cite this Research Publication : S. Selvin, Ajay, S. G., Gowri, B. G., and Dr. Soman K. P., “ℓ1 Trend Filter for Image Denoising”, in Procedia Computer Science, 2016, vol. 93, pp. 495-502.

Publisher : Procedia Computer Science, Elsevier.

Year : 2016

X-ray Image Classification Based On Tumor using GURLS and LIBSVM

Cite this Research Publication : P. A, R, M., Sowmya, and Dr. Soman K. P., “X-ray Image Classification Based On Tumor using GURLS and LIBSVM”, in International Conference on Communications and Signal Processing (ICCSP’16), Adhiparasakthi Engineering College, Melmaruvathur , 2016.

Publisher : International Conference on Communications and Signal Processing (ICCSP’16)

Year : 2016

Low Contrast Satellite Image Restoration based on adaptive Histogram Equalization and Discrete Wavelet Transform

Cite this Research Publication : M. P, M, S., Sowmya, and Dr. Soman K. P., “Low Contrast Satellite Image Restoration based on adaptive Histogram Equalization and Discrete Wavelet Transform”, in - 5th IEEE International Conference on Communication and Signal Processing-ICCSP'15, Adhiparasakthi Engineering College, Melmaruvathur , 2016.

Publisher : - 5th IEEE International Conference on Communication and Signal Processing-ICCSP'15

Year : 2016

Dimensionality Reduction Using Band Selection Technique for Kernel Based Hyperspectral Image Classification

Cite this Research Publication : R. Reshma, Sowmya, Dr. Soman K. P., J., M., and J., J., “Dimensionality Reduction Using Band Selection Technique for Kernel Based Hyperspectral Image Classification”, in 6th International Conference on Advances in Computing and Communications , ICACC-2016, Rajagiri School of Engineering & Technology, 2016, vol. 93, pp. 396-402.

Publisher : 6th International Conference on Advances in Computing and Communications , ICACC-2016

Year : 2016

Application of Least Square Denoising to Improve ADMM Based Hyperspectral Image Classification

Cite this Research Publication : S. Srivatsa, Ajay, A., Chandni, C. K., Sowmya, and Dr. Soman K. P., “Application of Least Square Denoising to Improve ADMM Based Hyperspectral Image Classification”, in 6th International Conference on Advances in Computing and Communications , ICACC-2016, Rajagiri School of Engineering & Technology, 6-8 September 2016, 2016, vol. 93, pp. 416-423.

Publisher : 6th International Conference on Advances in Computing and Communications , ICACC-2016

Year : 2015

Aerial Image Classification using GURLS and LIBSVM

Cite this Research Publication : A. Joy, Merlin, D., .K, D., Sowmya, and Dr. Soman K. P., “Aerial Image Classification using GURLS and LIBSVM”, in 5th IEEE International Conference on Communication and Signal Processing-ICCSP'15, Adhiparasakthi Engineering College, Melmaruvathur , 2015.

Publisher : 5th IEEE International Conference on Communication and Signal Processing-ICCSP'15

Year : 2014

A novel approach for denoising coloured remote sensing image using Legendre Fenchel Transformation

Cite this Research Publication : S. Santhosh, Abinaya, N., Rashmi, G., Sowmya, and Dr. Soman K. P., “A novel approach for denoising coloured remote sensing image using Legendre Fenchel Transformation”, in 2014 International Conference on Recent Trends in Information Technology, ICRTIT 2014, Chennai, India, 2014.

Publisher : 2014 International Conference on Recent Trends in Information Technology, ICRTIT 2014

Year : 2014

Image Classification using Deep Learning Features

Cite this Research Publication :

Publisher : International Conference on Emerging Trends in Electrical Engineering-ICETREE

Year : 2012

Implementation of ℓ 1 magic and one bit compressed sensing based on linear programming using excel

Cite this Research Publication : P. K. Indukala, Lakshmi, K., Sowmya V., and Dr. Soman K. P., “Implementation of ℓ 1 magic and one bit compressed sensing based on linear programming using excel”, International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala, pp. 69-72, 2012

Publisher : IEEE

Year : 2024

Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare

Cite this Research Publication : Ganeshkumar, M., V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare." Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches 10 (2024): 207

Year : 2024

Transformer based ensemble deep learning approach for remote sensing natural scene classification

Cite this Research Publication : Sivasubramanian, Arrun, Prashanth VR, Sowmya V, and Vinayakumar Ravi. "Transformer based ensemble deep learning approach for remote sensing natural scene classification." International Journal of Remote Sensing 45, no. 10 (2024): 3289-3309

Year : 2024

A multi-branch dual attention segmentation network for epiphyte drone images

Cite this Research Publication : Variyar, VV Sajith, V. Sowmya, Ramesh Sivanpillai, and Gregory K. Brown. "A multi-branch dual attention segmentation network for epiphyte drone images." Image and Vision Computing (2024): 105099

Year : 2024

Transformer-based convolutional neural network approach for remote sensing natural scene classification

Cite this Research Publication : Sivasubramanian, Arrun, V. R. Prashanth, Theivaprakasham Hari, V. Sowmya, E. A. Gopalakrishnan, and Vinayakumar Ravi. "Transformer-based convolutional neural network approach for remote sensing natural scene classification." Remote Sensing Applications: Society and Environment 33 (2024): 101126

Year : 2024

Unsupervised generative learning-based decision-making system for COVID-19 detection

Cite this Research Publication : Menon, Neeraj, Pooja Yadav, Vinayakumar Ravi, Vasundhara Acharya, and V. Sowmya. "Unsupervised generative learning-based decision-making system for COVID-19 detection." Health and Technology (2024): 1-11

Year : 2024

Robust language independent voice data driven Parkinson’s disease detection

Cite this Research Publication : Veetil, Iswarya Kannoth, V. Sowmya, Juan Rafael Orozco-Arroyave, and E. A. Gopalakrishnan. "Robust language independent voice data driven Parkinson’s disease detection." Engineering Applications of Artificial Intelligence 129 (2024): 107494

Year : 2024

An analysis of data leakage and generalizability in MRI based classification of Parkinson’s Disease using Explainable 2D Convolutional Neural Networks

Cite this Research Publication : Veetil, Iswarya Kannoth, Divi Eswar Chowdary, Paleti Nikhil Chowdary, V. Sowmya, and E. A. Gopalakrishnan. "An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using Explainable 2D Convolutional Neural Networks." Digital Signal Processing (2024): 104407

Year : 2023

Effect of Hyperparameters on DEEPLABV3+ Performance to Segment Water Bodies in RGB Images

Cite this Research Publication : Reddy, O. C., I. D. Kumar, P. Sathvika, V. V. Sajith Variyar, V. Sowmya, and R. Sivanpillai. "Effect of Hyperparameters on DEEPLABV3+ Performance to Segment Water Bodies in RGB Images." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 48 (2023): 203-209

Year : 2023

The Effect of Contrast Enhancement on Epiphyte Segmentation Using Generative Network

Cite this Research Publication : Sajith Variyar, V. V., V. Sowmya, R. Sivanpillai, and G. Brown. "The Effect of Contrast Enhancement on Epiphyte Segmentation Using Generative Network." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 48 (2023): 219-226

Year : 2023

Mosquito on Human Skin Classification Using Deep Learning

Cite this Research Publication : Kumar, CS Ayush, Advaith Das Maharana, Srinath Murali Krishnan, Sannidhi Sri Sai Hanuma, V. Sowmya, and Vinayakumar Ravi. "Mosquito on Human Skin Classification Using Deep Learning." In Innovations in Machine and Deep Learning: Case Studies and Applications, pp. 193-212. Cham: Springer Nature Switzerland, 2023

Year : 2023

Classification of Colorectal Cancer Tissue Utilizing Machine Learning Algorithms

Cite this Research Publication : Reddy, N. Sai Satwik, A. Venkata Siva Manoj, and V. Sowmya. "Classification of Colorectal Cancer Tissue Utilizing Machine Learning Algorithms." In International Advanced Computing Conference, pp. 397-409. Cham: Springer Nature Switzerland, 2023

Year : 2023

Transfer Learning Approach for Differentiating Parkinson’s Syndromes Using Voice Recordings

Cite this Research Publication : Reddy, N. Sai Satwik, A. Venkata Siva Manoj, V. Poorna Muni Sasidhar Reddy, Aadharsh Aadhithya, and V. Sowmya. "Transfer Learning Approach for Differentiating Parkinson’s Syndromes Using Voice Recordings." In International Advanced Computing Conference, pp. 213-226. Cham: Springer Nature Switzerland, 2023

Year : 2023

Coconut Tree Detection Using Deep Learning Models

Cite this Research Publication : Sudharsan, Deepthi, K. Harish, U. Asmitha, S. Roshan Tushar, H. Theivaprakasham, V. Sowmya, VV Sajith Variyar, Krishnamoorthy Deva Kumar, and Vinayakumar Ravi. "Coconut Tree Detection Using Deep Learning Models." In Innovations in Machine and Deep Learning: Case Studies and Applications, pp. 469-487. Cham: Springer Nature Switzerland, 2023

Year : 2023

Effect of data quality on water body segmentation with deeplabv3+ algorithm

Cite this Research Publication : Edpuganti, A., P. Akshaya, J. Gouthami, V. V. Sajith Variyar, V. Sowmya, and R. Sivanpillai. "Effect of data quality on water body segmentation with deeplabv3+ algorithm." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 48 (2023): 81-85

Year : 2023

Parkinson’s Disease Assessment from Speech Data Using Recurrence Plot

Cite this Research Publication : Mohamed Ali, Arsya, G. Jyothish Lal, V. Sowmya, and E. A. Gopalakrishnan. "Parkinson’s Disease Assessment from Speech Data Using Recurrence Plot." In International Conference on Computing, Intelligence and Data Analytics, pp. 132-142. Cham: Springer Nature Switzerland, 2023

Year : 2023

Selective Kernel Networks for Lung Abnormality Diagnosis Using Chest X-rays

Cite this Research Publication : Phogat, Divith, Dilip Parasu, Arun Prakash, and V. Sowmya. "Selective Kernel Networks for Lung Abnormality Diagnosis Using Chest X-rays." In International Conference on Information, Communication and Computing Technology, pp. 937-950. Singapore: Springer Nature Singapore, 2023

Year : 2023

Deep learning-based approach for multi-stage diagnosis of Alzheimer’s disease

Cite this Research Publication : Srividya. L, Sowmya V, Vinayakumar R, Gopalakrishnan EA, and Soman KP. "Deep learning-based approach for multi-stage diagnosis of Alzheimer’s disease." Multimedia Tools and Applications (2023): 1-24. Multimedia Tools and Applications 82, no. 14 (2023): 21311-21351. (IF: 3.6 CiteScore: 6.1 Q1: 86 percentile).

Publisher : SpringerLink

Year : 2023

Learning and Adaptation from Minimum Samples with Heterogeneous Quality: An investigation of image segmentation networks on natural dataset

Cite this Research Publication : Variyar, VV Sajith, V. Sowmya, Ramesh Sivanpillai, and Gregory K. Brown. "Learning and Adaptation from Minimum Samples with Heterogeneous Quality: An investigation of image segmentation networks on natural dataset." IEEE Access (2023). (IF: 3.476 CiteScore: 9.0 Q1: 92 percentile).

Publisher : IEEE

Year : 2023

Centralized CNN–GRU Model by Federated Learning for COVID-19 Prediction in India

Cite this Research Publication : Pandianchery, Mredulraj S., V. Sowmya, E. A. Gopalakrishnan, Vinayakumar Ravi, and K. P. Soman. "Centralized CNN–GRU Model by Federated Learning for COVID-19 Prediction in India." IEEE Transactions on Computational Social Systems (2023) (IF: 5.0 CiteScore: 10 Q1: 98 percentile).

Publisher : IEEE

Year : 2023

Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images

Cite this Research Publication : J. Arun Prakash, Vinayakumar Ravi, V. Sowmya & K. P. Soman "Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images", Neural Computing and Applications volume 35, pages8259–8279 (2023)

Year : 2023

Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures

Cite this Research Publication : J Arun Prakash, CR Asswin, Vinayakumar Ravi, V Sowmya & KP Soman "Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures", Multimedia Tools and Applications volume 82, pages21311–21351 (2023)

Year : 2023

AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition

Cite this Research Publication : KM Sudhesh, V Sowmya, Sainamole Kurian, OK Sikha "AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition", Engineering Applications of Artificial Intelligence, 2023

Publisher : Pergamon

Year : 2022

Explainable AI Framework for COVID-19 Prediction in Different Provinces of India

Cite this Research Publication : Mredulraj S. Pandianchery, Gopalakrishnan E.A, Sowmya V, Vinayakumar Ravi, Soman K.P "Explainable AI Framework for COVID-19 Prediction in Different Provinces of India", arXiv preprint arXiv:2201.06997, 2022/1/12

Year : 2022

Unsupervised Deep Learning Approach for the Identification of Intracranial Haemorrhage in CT Images Using PCA-Net and K-Means Algorithm

Cite this Research Publication : Ganeshkumar, M., V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Unsupervised Deep Learning Approach for the Identification of Intracranial Haemorrhage in CT Images Using PCA-Net and K-Means Algorithm." In Intelligent Vision in Healthcare, pp. 23-31. Springer, Singapore, 2022

Publisher : Springer

Year : 2022

Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN

Cite this Research Publication : Ganesh Kumar, M., Vinayakumar Ravi, V. Sowmya, and Chinmay Chakraborty. "Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN." Multimedia Tools and Applications (2022): 1-17. (IF: 2.577 CiteScore: 5.3 Q1: 81 percentile).

Publisher : Multimedia Tools and Applications 

Year : 2022

A two‐stage deep learning framework for image‐based android malware detection and variant classification

Cite this Research Publication : Yadav, Pooja, Neeraj Menon, Vinayakumar Ravi, Sowmya Vishvanathan, and Tuan D. Pham. "A two‐stage deep learning framework for image‐based android malware detection and variant classification." Computational Intelligence (2022). (IF: 2.142 CiteScore: 4.0 Q2: 75 percentile).

Publisher : Computational Intelligence 

Year : 2022

EfficientNet convolutional neural networks-based Android malware detection

Cite this Research Publication : Yadav, Pooja, Neeraj Menon, Vinayakumar Ravi, Sowmya Vishvanathan, and Tuan D. Pham. "EfficientNet convolutional neural networks-based Android malware detection." Computers & Security 115 (2022): 102622. (IF: 5.105 CiteScore: 10.1 Q1: 99 percentile).

Publisher : Computers & Security 115

Year : 2022

Odonata identification using Customized Convolutional Neural Networks

Cite this Research Publication : Theivaprakasham, Hari, S. Darshana, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Odonata identification using Customized Convolutional Neural Networks." Expert Systems with Applications (2022): 117688. (IF:8.665 CiteScore: 12.2 Q1: 97 percentile).

Publisher : Expert Systems with Applications 

Year : 2021

Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures

Cite this Research Publication : Arun Prakash J., Asswin C.R., Dharshan Kumar K.S., Avinash Dora, Vinayakumar Ravi, Sowmya V., E.A. Gopalakrishnan, Soman K.P. "Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures", Engineering Applications of Artificial Intelligence, Volume 123, Part B, August 2023, 106416

Year : 2021

Ensemble of Deep Transfer Learning Models for Parkinson’s Disease Classification

Cite this Research Publication : Kiranbabu Rajanbabu, Iswarya Kannoth Veetil, V. Sowmya, E. A. Gopalakrishnan & K. P. Soman "Ensemble of Deep Transfer Learning Models for Parkinson's Disease Classification", Advances in Intelligent Systems and Computing book series (AISC,volume 1340), 24 July 2021

Year : 2021

Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images

Cite this Research Publication : Anand, R., Sowmya, V., Menon, V., Gopalakrishnan, A., & Soman, K. P. (2021). Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images. Biomedical and Biotechnology Research Journal (BBRJ), 5(1), 43-49.

Year : 2021

Effect of Annotation and Loss Function on Epiphyte Identification using Conditional Generative Adversarial Network

Cite this Research Publication : S. Aswin; V.V. Sajithvariyar; Ramesh Sivanpillai; V. Sowmya; Gregory K Brown; A. Shashank; K. P. Soman "Effect of Annotation and Loss Function on Epiphyte Identification using Conditional Generative Adversarial Network", 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)

Publisher : IEEE

Year : 2021

Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram

Cite this Research Publication : G. M., Vinayakumar Ravi, Sowmya V., Dr. E. A. Gopalakrishnan, and Dr. Soman K. P., “Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram”, IEEE Transactions on Engineering Management (IF: 6.146 Citescore: 4.3 Q1: 76 percentile), pp. 1-13, 2021.

Publisher : IEEE Transactions on Engineering Management

Year : 2021

Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images

Cite this Research Publication : Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, and Sowmya V., “Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images”, IEEE Transactions on Engineering Management (IF: 6.146 Citescore: 4.3 Q1: 76 percentile), pp. 1-13, 2021.

Publisher : IEEE Transactions on Engineering Management

Year : 2021

Modified Vgg Deep Learning Architecture For Covid-19 Classification Using Bio-Medical Images

Cite this Research Publication : R. ANAND, Sowmya, V., VIJAYKRISHNAMENON,, Gopalakrishnan, E. A., and Dr. Soman K. P., “Modified Vgg Deep Learning Architecture For Covid-19 Classification Using Bio-Medical Images”, IOP Conference Series: Materials Science and Engineering, vol. 1084, p. 012001, 2021.

Publisher : IOP Conference Series: Materials Science and Engineering, IOP Publishing

Year : 2020

Randomized independent component analysis and linear discriminant analysis dimensionality reduction methods for hyperspectral image classification

Cite this Research Publication : Chippy Jayaprakash, Bharath Bhushan Damodaran, Sowmya Viswanathan, Kutti Padannayil Soman "Randomized independent component analysis and linear discriminant analysis dimensionality reduction methods for hyperspectral image classification", Journal of Applied Remote Sensing, 2020/7/1

Publisher : Society of Photo-Optical Instrumentation Engineers

Year : 2020

Explainable Artificial Intelligence for Heart Rate Variability in ECG Signal

Cite this Research Publication : Sowmya V., Sanjana, K., Gopalakrishnan, E. A., and Dr. Soman K. P., “Explainable Artificial Intelligence for Heart Rate Variability in ECG Signal”, Healthcare Technology Letters, vol. 7, no. 6, pp. 146 (IF:1.157, CiteScore: 3.1, Q2- 64 percentile), 2020.

Publisher : Healthcare Technology Letters

Year : 2020

Dimensionality Reduction Methods for Hyperspectral Image Classification

Cite this Research Publication : Chippy Jayaprakash, Damodaran, B. Bhushan, Sowmya V., and Dr. Soman K. P., “Dimensionality Reduction Methods for Hyperspectral Image Classification”, Journal of Applied Remote Sensing , vol. 14, no. 3, pp. 036507 (IF: 1.370, CiteScore: 2.6, Q2- 69 percentile), 2020.

Publisher : Journal of Applied Remote Sensing

Year : 2019

Shallow cnn with lstm layer for tuberculosis detection in microscopic images

Cite this Research Publication : Anson Simon, R Vinayakumar, V Sowmya, KP Soman "Shallow cnn with lstm layer for tuberculosis detection in microscopic images", Machine learning for Biomedical Applications, 2019

Year : 2019

Performance comparison of machine learning algorithms for malaria detection using microscopic images

Cite this Research Publication : G. B. Saiprasath, Babu, N., ArunPriyan, J., Vinayakumar, R., Sowmya, V., and Dr. Soman K. P., “Performance comparison of machine learning algorithms for malaria detection using microscopic images”, IJRAR19RP014 International Journal of Research and Analytical Reviews (IJRAR), vol. 6, no. 1, 2019.

Publisher : IJRAR19RP014 International Journal of Research and Analytical Reviews (IJRAR), IJRAR

Year : 2019

A two-band convolutional neural network for satellite image classification

Cite this Research Publication : A. Unnikrishnan, Sowmya, and Dr. Soman K. P., “A two-band convolutional neural network for satellite image classification”, in Lecture Notes in Electrical Engineering, 2019, vol. 500, pp. 161-170.

Publisher : Lecture Notes in Electrical Engineering, Springer Verlag

Year : 2019

Significance of processing chrominance information for scene classification: a review

Cite this Research Publication : Sowmya V., Govind, D., and Dr. Soman K. P., “Significance of Processing Chrominance Information for Scene Classification: a Review”, Artificial Intelligence Review, vol. 53, no. 2, pp. 811-842 (IF: 5.747, CiteScore: 9.1, Q1- 89 percentile), 2019.

Publisher : Artificial Intelligence Review

Year : 2019

Shallow Cnn with Lstm layer for tuberculosis detection in microscopic image

Cite this Research Publication : A. Simon, Vinayakumar, R., Sowmya, and Dr. Soman K. P., “Shallow Cnn with Lstm layer for tuberculosis detection in microscopic image”, International Journal of Recent Technology and Engineering, vol. 7, pp. 56-60, 2019.

Publisher : International Journal of Recent Technology and Engineering

Year : 2019

Pre-processed hyperspectral image analysis using tensor decomposition techniques

Cite this Research Publication : R. K. Renu, Sowmya, and Dr. Soman K. P., “Pre-processed hyperspectral image analysis using tensor decomposition techniques”, in Communications in Computer and Information Science, 2019, vol. 968, pp. 205-216.

Publisher : Communications in Computer and Information Science

Year : 2019

Effect of denoising on hyperspectral image classification using deep networks and kernel methods

Cite this Research Publication : N. V. Jacob, Sowmya, and Dr. Soman K. P., “Effect of denoising on hyperspectral image classification using deep networks and kernel methods”, in Journal of Intelligent and Fuzzy Systems, 2019, vol. 36, pp. 2067-2073.

Publisher : Journal of Intelligent and Fuzzy Systems, IOS Press

Year : 2019

Dimensionality reduction by dynamic mode decomposition for hyperspectral image classification using deep learning and kernel methods

Cite this Research Publication : K. S. Charmisha, Sowmya, and Dr. Soman K. P., “Dimensionality reduction by dynamic mode decomposition for hyperspectral image classification using deep learning and kernel methods”, in Communications in Computer and Information Science, 2019, vol. 968, pp. 256-267.

Publisher : Communications in Computer and Information Science

Year : 2019

Deep learning architectures for land cover classification using red and near-infrared satellite images

Cite this Research Publication : A. Unnikrishnan, Sowmya V., and Dr. Soman K. P., “Deep learning architectures for land cover classification using red and near-infrared satellite images”, Multimedia Tools and Applications, vol. 78, no. 13, pp. 18379-18394 (IF: 2.313, CiteScore: 3.7, Q1- 80 percentile)., 2019.

Publisher : Multimedia Tools and Applications

Year : 2018

Least Square Based Fast Denoising approach to Hyperspectral Imagery

Cite this Research Publication : S. Srivatsa, Sowmya, and Dr. Soman K. P., “Least square based fast denoising approach to hyperspectral imagery”, Advances in Intelligent Systems and Computing, vol. 518, pp. 107-115, 2018.

Publisher : Advances in Intelligent Systems and Computing, Springer Verlag

Year : 2018

Effect of Dimensionality Reduction on Sparsity Based Hyperspectral Unmixing

Cite this Research Publication : M. Swarna, Sowmya, and Dr. Soman K. P., “Effect of dimensionality reduction on sparsity based hyperspectral unmixing”, Advances in Intelligent Systems and Computing, vol. 614, pp. 429-439, 2018.

Publisher : Advances in Intelligent Systems and Computing.

Year : 2018

Fusion of panchromatic image with low-resolution multispectral images using Dynamic Mode Decomposition

Cite this Research Publication : V. Ankarao, Sowmya, and Dr. Soman K. P., “Fusion of panchromatic image with low-resolution multispectral images using dynamic mode decomposition”, Lecture Notes in Electrical Engineering, vol. 490, pp. 335-346, 2018.

Publisher : Lecture Notes in Electrical Engineering, Springer Verlag

Year : 2018

Effect of Legendre–Fenchel denoising and SVD-based dimensionality reduction algorithm on hyperspectral image classification

Cite this Research Publication : R. Reshma, Sowmya V., and Dr. Soman K. P., “Effect of Legendre–Fenchel denoising and SVD-based Dimensionality Reduction Algorithm on Hyperspectral image Classification”, Neural Computing and Applications, vol. 29, pp. 301-310 (IF: 4.774, CiteScore: 6.5, Q1- 81 percentile), 2018.

Publisher : Neural Computing and Applications, Springer London.

Year : 2018

Multi-sensor data fusion using NIHS transform and decomposition algorithms

Cite this Research Publication : V. Ankarao, Sowmya V., and Dr. Soman K. P., “Multi-sensor Data Fusion using NIHS Transform and Decomposition Algorithms”, Multimedia Tools and Applications, vol. 77, pp. 30381–30402 (IF: 2.313, CiteScore: 3.7, Q1- 80 percentile), 2018.

Publisher : Multimedia Tools and Applications

Year : 2018

Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms

Cite this Research Publication : M. Swarna, Sowmya V., and Dr. Soman K. P., “Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms”, Signal, Image and Video Processing, vol. 12, no. 8, pp. 1463-1470 (IF: 1.794, CiteScore: 3.8, Q2- 69 percentile), 2018.

Publisher : Signal, Image and Video Processing

Year : 2017

Significance of incorporating chrominance information for effective color-to-grayscale image conversion

Cite this Research Publication : Sowmya, Divu, G., and Dr. Soman K. P., “Significance of incorporating chrominance information for effective color-to-grayscale image conversion”, Signal, Image and Video Processing, vol. 11, 2016.

Publisher : Signal, Image and Video Processing.

Year : 2017

Significance of perceptually relevant image decolorization for scene classification

Cite this Research Publication : Sowmya V., Divakaran, G., and Dr. Soman K. P., “Significance of perceptually relevant image decolorization for scene classification”, Journal of Electronic ImagingJournal of Electronic Imaging, vol. 26, no. 6, pp. 063019 (IF: 0.780, CiteScore: 2.0, Q3- 46 percentile), 2017.

Publisher : Journal of Electronic Imaging

Year : 2017

Effect of Legendre-Fenchel Denoising and SVD based Dimensionality Reduction Algorithm on Hyperspectral Image Classification

Cite this Research Publication : Sowmya, “Effect of Legendre-Fenchel Denoising and SVD based Dimensionality Reduction Algorithm on Hyperspectral Image Classification”, Special Issue in the Journal of Neural Computing and Applications, Springer, 2017.

Publisher : Special Issue in the Journal of Neural Computing and Applications, Springer

Year : 2017

Application of M-band wavelet in pan-sharpening

Cite this Research Publication : V. V. Pradeep, Sowmya, and Dr. Soman K. P., “Application of M-band wavelet in pan-sharpening”, Special Issue in the Journal of Intelligent and Fuzzy Systems, IOS Press, Netherlands, vol. 32, no. 4, pp. 3151-3158, 2017.

Publisher : Special Issue in the Journal of Intelligent and Fuzzy Systems, IOS Press,

Year : 2016

Variational Mode Feature-Based Hyperspectral Image Classification

Cite this Research Publication : N. Nechikkat, Sowmya, V., and Dr. Soman K. P., “Variational mode feature-based hyperspectral image classification”, Advances in Intelligent Systems and Computing, vol. 380, pp. 365-373, 2016.

Publisher : Advances in Intelligent Systems and Computing, Springer Verlag

Year : 2016

Variational mode decomposition based multispectral and panchromatic image fusion

Cite this Research Publication : V. V. Pradeep, Sowmya, and Dr. Soman K. P., “Variational mode decomposition based multispectral and panchromatic image fusion”, International Journal of Control Theory and Applications, vol. 9, no. 16, pp. 8051-8059, 2016.

Publisher : International Journal of Control Theory and Applications, Serials Publications

Year : 2016

Regularized least square approach for remote sensing image denoising using wavelet filters

Cite this Research Publication : M. Swarna, Megha, P., Sowmya, and Dr. Soman K. P., “Regularized least square approach for remote sensing image denoising using wavelet filters”, Indian Journal of Science and Technology, vol. 9, 2016.

Publisher : Indian Journal of Science and Technology

Year : 2016

Performance Evaluation of Sparse Banded Filter Matrices using content based image retrieval

Cite this Research Publication : H. T. Suseelan, Sudhakaran, S., Sowmya, and Dr. Soman K. P., “Performance Evaluation of Sparse Banded Filter Matrices using content based image retrieval”, Institute of Integrative Omics and Applied Biotechnology, vol. 7, no. 3, pp. 11-18, 2016.

Publisher : Institute of Integrative Omics and Applied Biotechnology

Year : 2016

Low dimensional variational mode features for hyperspectral image classification

Cite this Research Publication : N. Nechikkat, Sowmya, and Dr. Soman K. P., “Low dimensional variational mode features for hyperspectral image classification”, Journal of Chemical and Pharmaceutical Sciences, vol. 9, pp. 565-570, 2016.

Publisher : Journal of Chemical and Pharmaceutical Sciences

Year : 2016

Least Square based Signal Denoising and Deconvolution using Wavelet Filters

Cite this Research Publication : Sowmya, Praveena, R., and Dr. Soman K. P., “Least Square based Signal Denoising and Deconvolution using Wavelet Filters”, Indian Journal of Science and Technology, vol. 9, no. 33, 2016.

Publisher : Indian Journal of Science and Technology

Year : 2016

Least Square based image denoising using wavelet filters

Cite this Research Publication : V. P.V, G, R. Devi, Sowmya, and Dr. Soman K. P., “Least Square based image denoising using wavelet filters”, Indian Journal of Science and Technology, vol. 9, no. 30, 2016.

Publisher : Indian Journal of Science and Technology

Year : 2016

Least Square Based approach for Image Inpainting

Cite this Research Publication : A. M, N, D., Sowmya, Mahan, D. Neethu, and Dr. Soman K. P., “Least Square Based approach for Image Inpainting”, Institute of Integrative Omics and Applied Biotechnology, vol. 7, pp. 44-59, 2016.

Publisher : Institute of Integrative Omics and Applied Biotechnology

Year : 2016

Improvement in kernel based Hyperspectral image classification using legendre fenchel denoising

Cite this Research Publication : Reshma R, Sowmya, and Dr. Soman K. P., “Improvement in kernel based Hyperspectral image classification using legendre fenchel denoising”, Indian Journal of Science and Technology, vol. 9, no. 33, 2016.

Publisher : Indian Journal of Science and Technology

Year : 2016

Impact of least square denoising on kernel based hyperspectral image classification

Cite this Research Publication : P. Megha, Swarna, M., K. Dixon, D. Merlin, Dr. Soman K. P., and Sowmya, “Impact of least square denoising on kernel based hyperspectral image classification”, International Journal of Control Theory and Applications, vol. 9, pp. 4623-4630, 2016.

Publisher : International Journal of Control Theory and Applications.

Year : 2016

Fourier Descriptor features for Shape Deformation Classification using Random Kitchen Sink

Cite this Research Publication : S. Se, Pradeep, D., Sowmya, and Dr. Soman K. P., “Fourier Descriptor features for Shape Deformation Classification using Random Kitchen Sink”, Journal of Chemical and Pharmaceutical Sciences, vol. 9, pp. 554-558, 2016.

Publisher : Journal of Chemical and Pharmaceutical Sciences

Year : 2016

Enhanced Variational Mode Features for Hyperspectral Image Classification

Cite this Research Publication : L. S. Kiran, Sowmya, and Dr. Soman K. P., “Enhanced Variational Mode Features for Hyperspectral Image Classification”, Journal of Chemical and Pharmaceutical Sciences, vol. 9, pp. 502-505, 2016.

Publisher : Journal of Chemical and Pharmaceutical Sciences

Year : 2016

Empirical Wavelet Transform for Multifocus Image Fusion

Cite this Research Publication : S. Moushmi, Sowmya, V., and Dr. Soman K. P., “Empirical wavelet transform for multifocus image fusion”, Advances in Intelligent Systems and Computing, vol. 397, pp. 257-263, 2016.

Publisher : AISC Springer Series

Year : 2016

Digit recognition using multiple feature extraction

Cite this Research Publication : D. P. Kuttichira, Sowmya, and Dr. Soman K. P., “Digit recognition using multiple feature extraction”, IIOAB Journal, vol. 7, pp. 37-43, 2016.

Publisher : IIOAB Journal

Year : 2016

Aerial and satellite image denoising using least square weighted regularization method

Cite this Research Publication : D. Merlin K. Dixon, Ajay, A., Dr. Soman K. P., and Sowmya, “Aerial and satellite image denoising using least square weighted regularization method”, Indian Journal of Science and Technology, vol. 9, no. 30, 2016.

Publisher : Indian Journal of Science and Technology

Year : 2015

Spreadsheet implementation of random kitchen sink for classification

Cite this Research Publication : Y. C. Nair, Binsha, P., V. Pradeep, V., Sowmya, and Dr. Soman K. P., “Spreadsheet implementation of random kitchen sink for classification”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 19228-19233, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Sparse banded matrix filter for image denoising

Cite this Research Publication : ⦁ Sowmya, V., Mohan, Neethu, & Soman, K. (2015b). Sparse banded matrix filter for image denoising. Indian Journal of Science and Technology, 8(24), 1–6.

Publisher : Indian Journal of Science and Technology

Year : 2015

Smart meter data security based on cosine transform and chaotic theory

Cite this Research Publication : M. Aswathi, M. Babu, J., Sowmya, and Dr. Soman K. P., “Smart meter data security based on cosine transform and chaotic theory”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 19181-19185, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Performance Enhancement of Minimum Volume based Hyper Spectral Unmixing Algorithms by Variational Mode Decomposition

Cite this Research Publication : P. G. Mol, Sowmya, and Dr. Soman K. P., “Performance Enhancement of Minimum Volume based Hyper Spectral Unmixing Algorithms by Variational Mode Decomposition”, Indian Journal of Science and Technology, vol. 8, no. 24, 2015.

Publisher : Indian Journal of Science and Technology

Year : 2015

Performance Comparison of Empirical wavelet Transform and Empirical Mode Decomposition on Pan sharpening

Cite this Research Publication : Sowmya, S., M., and Dr. Soman K. P., “Performance Comparison of Empirical wavelet Transform and Empirical Mode Decomposition on Pan sharpening”, International Journal of Applied Engineering Research, vol. 10, no. 73, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Parameter analysis of random kitchen sink algorithm

Cite this Research Publication : S. Athira, Harikumar, K., Sowmya, and Dr. Soman K. P., “Parameter analysis of random kitchen sink algorithm”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 19351-19355, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Multispectral and Panchromatic Image Fusion using Empirical Wavelet Transform

Cite this Research Publication : S. Moushmi, Sowmya, and Dr. Soman K. P., “Multispectral and Panchromatic Image Fusion using Empirical Wavelet Transform”, Indian Journal of Science and Technology, vol. 8, no. 24, 2015.

Publisher : Indian Journal of Science and Technology

Year : 2015

GURLS vs LIBSVM: Performance Comparison of Kernel Methods for Hyperspectral Image Classification

Cite this Research Publication : N. Haridas, Sowmya V., and Dr. Soman K. P., “GURLS vs LIBSVM: Performance Comparison of Kernel Methods for Hyperspectral Image Classification”, Indian Journal of Science and Technology, vol. 8, no. 24, 2015.

Publisher : Indian Journal of Science and Technology

Year : 2015

Effect of AB filter denoising on ADMM based Hyperspectral Image Classification

Cite this Research Publication : A. C, Haridas, N., Sowmya, and Dr. Soman K. P., “Effect of AB filter denoising on ADMM based Hyperspectral Image Classification”, International Journal of Applied Engineering Research (IJAER), vol. 10, no. 73, pp. 127-131, 2015.

Publisher : International Journal of Applied Engineering Research (IJAER)

Year : 2015

Edge Detection Using Sparse Banded Filter Matrices

Cite this Research Publication : Sowmya, Dr. Neethu Mohan, and Dr. Soman K. P., “Edge Detection Using Sparse Banded Filter Matrices”, Second International Symposium on Computer Vision and the Internet (VisionNet’15). Elsevier Procedia Computer Science Journal, SCMS School of Engineering, Aluva, Kochi , pp. 10–17, 2015.

Publisher : Procedia Computer Science

Year : 2015

A Comparative Analysis of Variational Mode and Empirical Mode Features on Hyperspectral Image Classification

Cite this Research Publication : N. Nechikkat, Sowmya, and Dr. Soman K. P., “A Comparative Analysis of Variational Mode and Empirical Mode Features on Hyperspectral Image Classification”, International Journal of Applied Engineering Research, vol. 10, no. 73, 2015.

Publisher : Rajagiri School of Social Sciences, Kalamassery, Kochi

Year : 2015

ADMM based hyperspectral image classification improved by denoising using legendre fenchel transformation

Cite this Research Publication : C. Aswathy, Sowmya, and Dr. Soman K. P., “ADMM based hyperspectral image classification improved by denoising using legendre fenchel transformation”, Indian Journal of Science and Technology, vol. 8, no. 24, 2015

Publisher : Indian Journal of Science and Technology

Year : 2014

Image Classification Using Convolutional Neural Networks

Cite this Research Publication : Sowmya, Dr. Soman K. P., and Deepika, J., “Image Classification Using Convolutional Neural Networks”, International Journal of Scientific & Engineering Research , vol. 5, no. 6, p. 06/2014, 2014.

Publisher : International Journal of Scientific Engineering Research

Year : 2014

Classification of hyperspectral images using scattering transform

Cite this Research Publication : P. S. Ashitha, Sowmya, and Dr. Soman K. P., “Classification of hyperspectral images using scattering transform”, International Journal of Scientific & Engineering Research, vol. 5, no. 7, pp. 315-319, 2014.

Publisher : International Journal of Scientific Engineering Research

Year : 2012

Enhancing computational thinking with spreadsheet and fractal geometry: Part 4 plant growth modeling and space filling curves

Cite this Research Publication : KP Soman, Manu Unni VG, Praveen Krishnan, V Sowmya "Enhancing computational thinking with spreadsheet and fractal geometry: Part 4 plant growth modeling and space filling curves", International Journal of Computer Applications, Volume 55, Issue 14, 2012/1/1

Year : 2012

Spatial preprocessing for improved sparsity based hyperspectral image classification

Cite this Research Publication : K. Balakrishnan, Dr. Soman K. P., and Sowmya, “Spatial Preprocessing for Improved Sparsity based Hyperspectral Image Classification”, International Journal of Engineering Research and Technology (IJERT), vol. 1, no. 5, 2012.

Publisher : IJERT

Year : 2012

Enhancing Computational Thinking with Spreadsheet and Fractal Geometry: Part 3 Mandelbrot and Julia Set

Cite this Research Publication : K. P. Soman, V.G, M. Unni, Sowmya, V., and Krishnan, P., “Enhancing Computational Thinking with Spreadsheet and Fractal Geometry: Part 3 Mandelbrot and Julia Set”, International Journal of Computer Applications, vol. 55, pp. 16-23, 2012.

Publisher : International Journal of Computer Applications

Year : 2012

Enhancing Computational Thinking with Spreadsheet and Fractal Geometry: Part 1

Cite this Research Publication : Dr. Soman K. P., Sowmya, V., Krishnan, P., and V.G, M. Unni, “Enhancing Computational Thinking with Spreadsheet and Fractal Geometry: Part 1”, International Journal of Computer Applications, vol. 55, pp. 1-8, 2012.

Publisher : International Journal of Computer Applications

Year : 2012

Computational Thinking with Spreadsheet: Convolution, High-Precision Computing and Filtering of Signals and Images

Cite this Research Publication : KP Soman, Sachin Kumar S, Soumya V, Shajeesh KU, Computational Thinking with Spreadsheet: Convolution, High-Precision Computing and Filtering of Signals and Images, International Journal of Computer Applications, 60(19):1-7, 2012

Publisher : International Journal of Computer Applications

Year : 2023

Deep Learning-Based Open Set Domain Hyperspectral Image Classification Using Dimension-Reduced Spectral Features

Cite this Research Publication : Krishnendu, C. S., V. Sowmya, and K. P. Soman. "Deep Learning-Based Open Set Domain Hyperspectral Image Classification Using Dimension-Reduced Spectral Features." In Smart Computer Vision, pp. 273-293. Cham: Springer International Publishing, 2023.

Publisher : SpringerLink

Year : 2023

Enhanced Object Detection in Floor Plan Through Super-Resolution

Cite this Research Publication : Khare, Dev, N. S. Kamal, H. B. Barathi Ganesh, V. Sowmya, and V. V. Sajith Variyar. "Enhanced Object Detection in Floor Plan Through Super-Resolution." In Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021, pp. 247-257. Singapore: Springer Nature Singapore, 2023.

Publisher : SpringerLink

Year : 2023

Analysis of Machine Learning and Deep Learning Algorithms for Detection of Brain Disorders Using MRI Data

Cite this Research Publication : Sudharsan, Deepthi, S. Isha Indhu, Kavya S. Kumar, Lakshaya Karthikeyan, L. Srividhya, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Analysis of Machine Learning and Deep Learning Algorithms for Detection of Brain Disorders Using MRI Data." In Artificial Intelligence on Medical Data, pp. 39-46. Springer, Singapore, 2023.

Publisher : In Artificial Intelligence on Medical Data

Year : 2022

Ensemble Deep Learning Models for Vehicle Classification in Motorized Traffic Analysis

Cite this Research Publication : Asmitha, U., S. Roshan Tushar, V. Sowmya, and K. P. Soman. "Ensemble Deep Learning Models for Vehicle Classification in Motorized Traffic Analysis." In International Conference on Innovative Computing and Communications: Proceedings of ICICC 2022, Volume 2, pp. 185-192. Singapore: Springer Nature Singapore, 2022.

Publisher : SpringerLink

Year : 2022

Hybrid Features-Based Ensembled Residual Convolutional Neural Network for Bird Acoustic Identification

Cite this Research Publication : Theivaprakasham, Hari, V. Sowmya, Vinayakumar Ravi, E. A. Gopalakrishnan, and K. P. Soman. "Hybrid Features-Based Ensembled Residual Convolutional Neural Network for Bird Acoustic Identification." In Advances in Communication, Devices and Networking: Proceedings of ICCDN 2021, pp. 437-445. Singapore: Springer Nature Singapore, 2022.

Publisher : SpringerLink

Year : 2022

Long short-term memory-based recurrent neural network model for COVID-19 prediction in different states of India

Cite this Research Publication : Mredulraj S Pandianchery, V Sowmya, EA Gopalakrishnan, KP Soman "Long short-term memory-based recurrent neural network model for COVID-19 prediction in different states of India", Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics, 2022

Publisher : CRC Press

Year : 2022

Transfer Learning Based Pediatric Pneumonia Diagnosis Using Residual Attention Learning

Cite this Research Publication : Arun Prakash Jayakanthan, S Shiva Rupan, V Sowmya, Moez Krichen, Vinayakumar Ravi "", International Conference on Innovations in Bio-Inspired Computing and Applications, 2023

Publisher : Springer Nature Switzerland

Year : 2022

Vehicle Detection from Aerial Imagery Using Principal Component Analysis and Deep Learning

Cite this Research Publication : CS Ayush Kumar, Advaith Das Maharana, Srinath Murali Krishnan, Sannidhi Sri Sai Hanuma, V Sowmya, Vinayakumar Ravi "Vehicle Detection from Aerial Imagery Using Principal Component Analysis and Deep Learning" International Conference on Innovations in Bio-Inspired Computing and Applications, 2022/12/15

Publisher : Springer Nature Switzerland

Year : 2022

Initial Stage Identification of COVID-19 Using Capsule Networks

Cite this Research Publication : Ganesan, S., Anand, R., Sowmya, V., & Soman, K. P. (2022). Initial Stage Identification of COVID-19 Using Capsule Networks. In Smart Computer Vision (pp. 203-222). Cham: Springer International Publishing.

Publisher : SpringerLink

Year : 2022

Segmentation of Epiphytes in Grayscale Images Using a CNN-Transformer Hybrid Architecture

Cite this Research Publication : Rahesh, R., V. V. Sajith Variyar, Ramesh Sivanpillai, V. Sowmya, K. P. Soman, and Gregory K. Brown. "Segmentation of Epiphytes in Grayscale Images Using a CNN-Transformer Hybrid Architecture." In Data Engineering and Intelligent Computing, pp. 119-129. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Epiphyte Segmentation using DRU-Net

Cite this Research Publication : Menon, Anjana K., V. V. Sajith Variyar, Ramesh Sivanpillai, V. Sowmya, Gregory K. Brown, and K. P. Soman. "Epiphyte Segmentation using DRU-Net." In Data Engineering and Intelligent Computing, pp. 101-108. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Geometrical Feature Extraction of CAD Models with Fully Convolutional Networks

Cite this Research Publication : Jain, Gokul S., H. B. Ganesh, N. S. Kamal, V. V. Variyar, V. Sowmya, and K. P. Soman. "Geometrical Feature Extraction of CAD Models with Fully Convolutional Networks." In Advanced Machine Intelligence and Signal Processing, pp. 845-853. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson’s Disease Detection

Cite this Research Publication : Madan, Yamini, Iswarya Kannoth Veetil, Gopalakrishnan EA, and Soman KP. "Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson’s Disease Detection." In Evolution in Computational Intelligence, pp. 171-178. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Geometry-Based Machining Feature Retrieval with Inductive Transfer Learning

Cite this Research Publication : Kamal, N. S., H. B. Barathi Ganesh, V. V. Sajith Variyar, V. Sowmya, and K. P. Soman. "Geometry-Based Machining Feature Retrieval with Inductive Transfer Learning." In Intelligent Data Engineering and Analytics, pp. 31-39. Springer, Singapore, 2022.

Publisher : In Intelligent Data Engineering and Analytics

Year : 2022

Classification of Class-Imbalanced Diabetic Retinopathy Images Using the Synthetic Data Creation by Generative Models

Cite this Research Publication : Kumar, Krishanth, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Classification of Class-Imbalanced Diabetic Retinopathy Images Using the Synthetic Data Creation by Generative Models." In Intelligent Sustainable Systems, pp. 15-24. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest

Cite this Research Publication : Madan, Yamini, Iswarya Kannoth Veetil, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest." In Intelligent Sustainable Systems, pp. 1-13. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Unsupervised deep learning-based disease diagnosis using medical images

Cite this Research Publication : Ganeshkumar, M., V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Unsupervised deep learning-based disease diagnosis using medical images." In Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data, pp. 203-220. Academic Press, 2022.

Year : 2022

Detection of Cardiac Disease with Less Number of Electrocardiogram Sensor Samples Using Chebyshev

Cite this Research Publication : Bhanu Prakash, M., K. Sanjana, B. Ganga Gowri, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Detection of Cardiac Disease with Less Number of Electrocardiogram Sensor Samples Using Chebyshev." In Intelligent Vision in Healthcare, pp. 75-86. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

CT Image Enhancement Using Variational Mode Decomposition for AI-Enabled COVID Classification

Cite this Research Publication : Ramakrishnan, Rohith, Anirudh Vadakedath, Aakash Jignesh Modi, V. V. Sajith Variyar, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "CT Image Enhancement Using Variational Mode Decomposition for AI-Enabled COVID Classification." In Artificial Intelligence on Medical Data, pp. 27-37. Springer, Singapore, 2023.

Publisher : Artificial Intelligence on Medical Data

Year : 2021

Performance Analysis of Deep Learning Models for Biomedical Image Segmentation

Cite this Research Publication : T. K. Saj Sachin, Sowmya V., and Dr. Soman K. P., “Performance Analysis of Deep Learning Models for Biomedical Image Segmentation”, in Deep Learning for Biomedical Applications, 1st Editionst ed., CRC Press, 2021, pp. 83–100.

Publisher : CRC Press

Year : 2021

Tuberculosis Classification Using Pre-trained Deep Learning Models

Cite this Research Publication : G. Babu, K, S. Saj T., Vishvanathan, S., and Dr. Soman K. P., “Tuberculosis Classification Using Pre-trained Deep Learning Models”, in Advances in Automation, Signal Processing, Instrumentation, and Control, Select Proceedings of i-CASIC 2020, 2021, pp. 767-774.

Publisher : Advances in Automation, Signal Processing, Instrumentation, and Control, Select Proceedings of i-CASIC 2020

Year : 2021

Multi-task data driven modelling based on transfer learned features in deep learning for biomedical application

Cite this Research Publication : H. N., B., R., V, S., V., K. Menon, E.A., G., V.V., S. Variyar, and Dr. Soman K. P., “Multi-task data driven modelling based on transfer learned features in deep learning for biomedical application”, in Lecture Notes in Networks and Systems, vol. 171, 2021.

Publisher : Lecture Notes in Networks and Systems

Year : 2020

Musculoskeletal Radiographs Classification using Deep Learning

Cite this Research Publication : N. Harini, Ramji, B., Sriram, S., Sowmya V., and Soman, K. P., “Musculoskeletal Radiographs Classification using Deep Learning”, in Deep Learning for Data Analytics, H. Das, Pradhan, C., and Dey, N., Eds. Academic Press, 2020, pp. 79-98, Academic Press.

Year : 2020

Single-layer Convolution Neural Network for Cardiac Disease Classification using Electrocardiogram Signals

Cite this Research Publication : P. Gopika, Krishnendu, C. S., M. Chandana, H., Ananthakrishnan, S., Sowmya V., Gopalakrishnan, E. A., and Soman, K. P., “Single-layer Convolution Neural Network for Cardiac Disease Classification using Electrocardiogram Signals”, in Deep Learning for Data Analytics, H. Das, Pradhan, C., and Dey, N., Eds. Academic Press, 2020, pp. 21-35, Academic Press.

Publisher : Deep Learning for Data Analytics, Academic Press

Year : 2020

Transferable Approach for Cardiac Disease Classification using Deep Learning

Cite this Research Publication : P. Gopika, Sowmya V., Gopalakrishnan, E. A., and Dr. Soman K. P., “Transferable Approach for Cardiac Disease Classification using Deep Learning”, in Deep Learning Techniques for Biomedical and Health Informatics, B. Agarwal, Balas, V. Emilia, Jain, L. C., Poonia, R. Chandra, and Manisha,, Eds. Academic Press, 2020, pp. 285-303, Academic Press.

Publisher : Deep Learning Techniques for Biomedical and Health Informatics, Academic Press

Year : 2020

Performance Analysis of NASNet on Unconstrained Ear Recognition

Cite this Research Publication : K. Radhika, Devika, K., Aswathi, T., Sreevidya, P., Sowmya V., and Dr. Soman K. P., “Performance Analysis of NASNet on Unconstrained Ear Recognition”, in Nature Inspired Computing for Data Science, Springer International Publishing, 2020, pp. 57-82, Springer, Cham.

Publisher : Springer International Publishing

Year : 2019

A Deep Learning Approach for Patch-based Disease Diagnosis from Microscopic Images

Cite this Research Publication : A. Simon, Vinayakumar, R., Sowmya V., Soman, K. Padannayil, and Gopalakrishnan, E. Anathanara, “A Deep Learning Approach for Patch-based Disease Diagnosis from Microscopic Images”, in Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis, N. Dey, Ed. Academic Press, 2019, pp. 109-127, Academic Press.

Publisher : Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis, Academic Press

Year : 2019

Scene classification using transfer learning

Cite this Research Publication : N. Damodaran, Sowmya V., Govind, D., and Dr. Soman K. P., “Scene Classification using transfer Learning”, in Studies in Computational Intelligence, vol. 804, Springer Verlag, 2019, pp. 363-399, Springer, Cham.

Publisher : Springer Verlag

Year : 2019

Hyperspectral image: Fundamentals and advances

Cite this Research Publication : Sowmya V., Dr. Soman K. P., and Hassaballah, M., “Hyperspectral image: Fundamentals and advances”, in Studies in Computational Intelligence, vol. 804, Springer Verlag, 2019, pp. 401-424, Springer, Cham.

Publisher : Springer Verlag

Year : 2019

Performance Improvement of Residual Skip Convolutional Neural Network for Myocardial Disease Classification

Cite this Research Publication : Gopika, P., Sowmya, V., Gopalakrishnan, E. A. and Soman, K. P. “Performance Improvement of Residual Skip Convolutional Neural Network for Myocardial Disease Classification”, International Conference on Intelligent Computing and Communication Technologies. January 9 – 11, 2019, Hyderabad, India.

Year : 2018

Vehicle detection in Aerial imagery using Eigen features

Cite this Research Publication : Sowmya, Aleena Ajay, and Dr. Soman K. P., “Vehicle detection in Aerial imagery using Eigen features”, IEEE International Conference on Communication and Signal Processing-ICCSP'17. IEEE, Adhiparasakthi Engineering College, Melmaruvathur , pp. 1620-1624, 2018.

Publisher : Adhiparasakthi Engineering College, Melmaruvathur

Year : 2018

Sparse Image Denoising using Dictionary constructed based on Least Square Solution

Cite this Research Publication : Sowmya, V. Ankarao, and Dr. Soman K. P., “Sparse Image Denoising using Dictionary constructed based on Least Square Solution”, International Conference on Wireless Communications Signal Processing and Networking (WISPNET) 2017. IEEE, SSN College of Engineering, Chennai, India, pp. 1165-1171, 2018.

Publisher : International Conference on Wireless Communications Signal Processing and Networking (WISPNET) 2017

Year : 2018

Image Dehazing Using Variational Mode Decomposition

Cite this Research Publication : Sowmya, Hima . T.Suseelan, and Dr. Soman K. P., “Image Dehazing Using Variational Mode Decomposition”, International Conference on Wireless Communications Signal Processing and Networking (WISPNET 2017). IEEE, SSN College of Engineering, Chennai, India, pp. 200-205, 2018.

Publisher : IEEE

Year : 2018

Effect of Denoising on Vectorized Convolutional Neural Network for Hyperspectral Image Classification

Cite this Research Publication : Sowmya, Deepa Merlin Dixon.K, and Dr. Soman K. P., “Effect of Denoising on Vectorized Convolutional Neural Network for Hyperspectral Image Classification”, International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2), Lecture Notes in Electrical Engineering, vol. 490. Springer Nature Singapore Pte Ltd. 2018, VIT University, Chennai Campus, India, pp. 305-313, 2018.

Publisher : Springer Nature Singapore

Year : 2018

Dependency of Various Color and Intensity Planes on CNN Based Image Classification

Cite this Research Publication : Dr. Govind D., Sowmya, Sachin, R., and Dr. Soman K. P., “Dependency of Various Color and Intensity Planes on CNN Based Image Classification”, Advances in Intelligent Systems and Computing, International Symposium on Signal Processing and Intelligent Recognition Systems SIRS 2017, vol. 678. Springer International Publishing AG 2018, Manipal, India, pp. 167-177, 2018.

Publisher : Springer International Publishing AG 2018

Year : 2017

Significance of contrast and structure features for an improved color image classification system

Cite this Research Publication : Sowmya, Dr. Govind D., and Dr. Soman K. P., “Significance of contrast and structure features for an improved color image classification system”, 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). pp. 210-215, 2017.

Publisher : 2017 IEEE International Conference on Signal and Image Processing Applications

Year : 2017

Performance Evaluation of Edge Feature Extracted using Sparse Banded Matrix Filter Applied for Face Recognition

Cite this Research Publication : Ashwini, B., Mohan, Neethu, Se, S., Sowmya, V., & Soman, K. (2017). Performance evaluation of edge feature extracted using sparse banded matrix filter applied for face recognition. In 2017 International Conference On Circuit, Power And Computing Technologies (ICCPCT) (pp. 1–5). IEEE.

Publisher : IEEE International Conference on Circuit, Power and Computing, ICCPCT-2017,

Year : 2017

Least Square Denoising in Spectral Domain for Hyperspectral Images

Cite this Research Publication : Chippy Jayaprakash, Naveen Varghese Jacob, Renu .R.K., Sowmya, and Dr. Soman K. P., “Least Square Denoising in Spectral Domain for Hyperspectral Images”, Procedia Computer Science, 7th International Conference on Advances in Computing and Communications , ICACC-2017, vol. 115. Elsevier, Rajagiri School of Engineering & Technology, Kochi, Kerala, India, pp. 399-406, 2017.

Publisher : Procedia Computer Science, 7th International Conference on Advances in Computing and Communications , ICACC-2017, Elsevier,

Year : 2017

Image Denoising based on Weighted Regularized Least Square Method

Cite this Research Publication : M .Srikanth, K.S. Gokul Krishnan, Sowmya, and Dr. Soman K. P., “Image Denoising based on Weighted Regularized Least Square Method”, IEEE International Conference on Circuit, Power and Computing, ICCPCT-2017. Baselious Mathews II College of Engineering, Kerala, pp. 19-20, 2017.

Publisher : IEEE International Conference on Circuit, Power and Computing, ICCPCT-2017.

Year : 2017

Effect of Dynamic Mode Decomposition Based Dimension Reduction Technique on Hyperspectral Image Classification

Cite this Research Publication : Sowmya, Megha .P, and Dr. Soman K. P., “Effect of Dynamic Mode Decomposition Based Dimension Reduction Technique on Hyperspectral Image Classification”, International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2. LNEE Springer Proceedings, VIT University, Chennai Campus, India, pp. 23-25 , 2017.

Publisher : International Conference on Nextgen Electronic Technologies: Silicon to Software

Year : 2017

Effect of Denoising on Dimensionally Reduced Sparse Hyperspectral Unmixing

Cite this Research Publication : Swarna .M, Sowmya, and Dr. Soman K. P., “Effect of Denoising on Dimensionally Reduced Sparse Hyperspectral Unmixing”, 7th International Conference on Advances in Computing and Communications , ICACC-2017, vol. 115. Elsevier, Rajagiri School of Engineering & Technology, pp. 391-398, 2017.

Publisher : 7th International Conference on Advances in Computing and Communications , ICACC-2017, Elsevier,

Year : 2017

Comparative Analysis of Sparsity based and Kernel based algorithms for Hyperspectral Image Classification

Cite this Research Publication : Vishnu Pradeep V, Reshma R, Sowmya, and Dr. Soman K. P., “Comparative Analysis of Sparsity based and Kernel based algorithms for Hyperspectral Image Classification”, IEEE International Conference on Circuit, Power and Computing, ICCPCT-2017. Baselious Mathews II College of Engineering, Kerala, pp. 19-20, 2017.

Publisher : IEEE International Conference on Circuit, Power and Computing, ICCPCT-2017. Baselious Mathews II College of Engineering,

Year : 2016

Performance enhancement of minimum volume-based hyperspectral unmixing algorithms by empirical wavelet transform

Cite this Research Publication : P. G. Mol, Sowmya, and Dr. Soman K. P., “Performance enhancement of minimum volume-based hyperspectral unmixing algorithms by empirical wavelet transform”, International Conference on Soft Computing Systems (ICSCS 2015), Advances in Intelligent Systems and Computing, vol. 397. AISC Springer Series, Noorul Islam Centre for Higher Education, Kumaracoil; India, pp. 251-256, 2016.

Publisher : AISC Springer Series

Year : 2016

Hyperspectral image denoising using legendre-fenchel transform for improved sparsity based classification

Cite this Research Publication : N. Haridas, Aswathy, C., Sowmya, and Dr. Soman K. P., “Hyperspectral Image Denoising Using Legendre-Fenchel Transform for Improved Sparsity Based Classification”, Advances in Intelligent Systems and Computing, International Symposium on Intelligent Systems Technologies and Applications (ISTA-15), co-located with 4th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, vol. 384. Springer, SCMS School of Engineering, Aluva, Kochi , pp. 521–528, 2016.

Publisher : Advances in Intelligent Systems and Computing, International Symposium on Intelligent Systems Technologies and Applications (ISTA-15), co-located with 4th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, Springer

Year : 2016

Dimensionality reduced recursive filter features for hyperspectral image classification

Cite this Research Publication : L. S. Kiran, Sowmya, and Dr. Soman K. P., “Dimensionality reduced recursive filter features for hyperspectral image classification”, Advances in Intelligent Systems and Computing, Second International Conference on Computer and Communication Technologies (IC3T -2015), vol. 380. AISC Springer Series(SCOPUS, ISI proceedings), CMR Technical Campus, Hyderabad, pp. 557-565, 2016.

Publisher : AISC Springer Series

Year : 2016

Analysis of various color space models on effective single image super resolution

Cite this Research Publication : N. John, Viswanath, A., Sowmya, and Dr. Soman K. P., “Analysis of various color space models on effective single image super resolution”, Advances in Intelligent Systems and Computing, International Symposium on Intelligent Systems Technologies and Applications (ISTA-15), co-located with 4th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, vol. 384. Springer Verlag, Kochi, India, pp. 529-540, 2016.

Publisher : Springer Verlag

Year : 2015

Hyperspectral Image Denoising using Low Pass Sparse Banded Filter Matrix for Improved Sparsity Based Classification

Cite this Research Publication : C. Aswathy, Sowmya, and Dr. Soman K. P., “Hyperspectral Image Denoising using Low Pass Sparse Banded Filter Matrix for Improved Sparsity Based Classification”, Second International Symposium on Computer Vision and the Internet (VisionNet’15). Elsevier Procedia Computer Science Journal, SCMS School of Engineering, Aluva, Kochi, pp. 26–33, 2015.

Publisher : Elsevier Procedia Computer Science Journal, SCMS School of Engineering,

Year : 2015

Hyperspectral image denoising using legendre Fenchel Transformation for improved Multinomial Logistic Regression based classification

Cite this Research Publication : C. Aswathy, Sowmya, Gandhiraj R., and Dr. Soman K. P., “Hyperspectral image denoising using legendre Fenchel Transformation for improved Multinomial Logistic Regression based classification”, 4th IEEE International Conference on Communications and Signal Processing (ICCSP), 2015 . IEEE, Adhiparasakthi Engineering College , Melmaruvathur, pp. 1670 - 1674, 2015.

Publisher : IEEE

Year : 2015

Hyperspectral image classification using Random Kitchen Sink and Regularized Least Squares

Cite this Research Publication : N. Haridas, Sowmya, and Dr. Soman K. P., “Hyperspectral image classification using Random Kitchen Sink and Regularized Least Squares”, 4th IEEE International Conference on Communications and Signal Processing (ICCSP), 2015 . IEEE, Adhiparasakthi Engineering College , Melmaruvathur, pp. 1665 - 1669, 2015.

Publisher : , IEEE, Adhiparasakthi Engineering College

Year : 2015

Fast Fourier Transform and Nonlinear Circuits Based Approach for Smart Meter Data Security

Cite this Research Publication : J. M Babu, Sowmya, and Dr. Soman K. P., “Fast Fourier Transform and Nonlinear Circuits Based Approach for Smart Meter Data Security”, International Conference onSmart Grid Technologies (ICSGT’15). Elsevier Procedia Technology, Amrita School of Engineering, Coimbatore, pp. 287–294, 2015.

Publisher : Elsevier Procedia Technology

Year : 2015

Comparative Analysis of Scattering and Random Features in Hyperspectral Image Classification

Cite this Research Publication : N. Haridas, Sowmya, and Dr. Soman K. P., “Comparative Analysis of Scattering and Random Features in Hyperspectral Image Classification”, Second International Symposium on Computer Vision and the Internet (VisionNet’15). Elsevier Procedia Computer Science Journal, SCMS School of Engineering, Aluva, Kochi, pp. 307 – 314, 2015.

Publisher : Elsevier Procedia Computer Science Journal

Year : 2015

ADMM based algorithm for spike and smooth signal separation using over-complete dictionary

Cite this Research Publication : K. Harikumar, Athira, S., Nair, Y. C., Sowmya, and Dr. Soman K. P., “ADMM based algorithm for spike and smooth signal separation using over-complete dictionary”, 4th IEEE International Conference on Communication and Signal Processing-ICCSP'15. IEEE, Adhiparasakthi Engineering College , Melmaruvathur , pp. 1617 - 1622, 2015.

Publisher : IEEE

Year : 2014

Comparison of Performance Analysis of Image Classification by K-Means and Bisecting K-Means

Cite this Research Publication :

Publisher : 4th National Conference on Advanced Trends in Information and Computing Sciences (NCATICS’14)

Year : 2013

An experimental study on application of orthogonal matching pursuit algorithm for image denoising

Cite this Research Publication : Suchithra M., Sukanya, P., Prabha, P., Sikha O. K., Sowmya, and Dr. Soman K. P., “An experimental study on application of orthogonal matching pursuit algorithm for image denoising”, 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. IEEE, Kochi, Kerala, pp. 729-736, 2013.

Publisher : 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013

Year : 2013

A comparative study of spike and smooth separation from a signal using different overcomplete dictionary

Cite this Research Publication : G. Aarthy, Amitha, P. L., Krishnan, T., Pillai, G. S., Sowmya, and Dr. Soman K. P., “A comparative study of spike and smooth separation from a signal using different overcomplete dictionary”, 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. IEEE, Kochi, Kerala, pp. 590-595, 2013.

Publisher : 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013

Year : 2013

2D Image Data Approximation using Savitzky-Golay Filter – Smoothing and Differencing

Cite this Research Publication : B. G. Gowri, Hariharan, V., Thara, S., Sowmya, Kumar, S. S., and Dr. Soman K. P., “2D Image data approximation using Savitzky Golay filter - Smoothing and differencing”, 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. IEEE, Kochi, Kerala, pp. 365-371, 2013.

Publisher : IEEE

Year : 2012

Visualization of OFDM using Microsoft Excel spreadsheet in Linear Algebra Perspective

Cite this Research Publication : R. Anand, Prabha, P., Sikha, O. K., Suchithra, M., Dr. Soman K. P., and Sowmya V., “Visualization of OFDM using Microsoft Excel spreadsheet in Linear Algebra Perspective”, International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala, pp. 58-64, 2012

Publisher : IEEE

Year : 2012

Computation of continuous wavelet transform using microsoft excel spreadsheet

Cite this Research Publication : P. Prabha, Sikha O. K., Suchithra M., Sukanya, P., Sowmya, and Dr. Soman K. P., “Computation of continuous wavelet transform using microsoft excel spreadsheet”, Proceedings - 2012 International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala, pp. 73-77, 2012.

Publisher : IEEE

Year : 2011

An effective pre-processing algorithm for detecting noisy spectral bands in hyperspectral imagery

Cite this Research Publication : B. D Bhushan, Sowmya V., M Manikandan, S., and Dr. Soman K. P., “An Effective Pre-processing Algorithm for Detecting Noisy Spectral Bands in Hyperspectral Imagery”, International Symposium on Ocean Electronics, SYMPOL 2011. IEEE, Kochi, pp. 34 - 39, 2011.

Publisher : IEEE

Year : 2011

A Decision Tree Based Land Cover Image Classification Using Color Space and Texture

Cite this Research Publication : Sowmya, “A Decision Tree Based Land Cover Image Classification Using Color Space and Texture”, IEEE International Conference on Computational Intelligence and Computing Research. IEEE, Cape Institute of Technology, Levengipuram, Kanyakumari, India, 2011.

Publisher : Cape Institute of Technology

Year : 2010

Super resolution blind reconstruction of low resolution images using framelets based fusion

Cite this Research Publication : B. D. Bhushan, Sowmya, and Dr. Soman K. P., “Super resolution blind reconstruction of low resolution images using framelets based fusion”, International Conference on Recent Trends in Information, Telecommunication, and Computing ITC 2010. IEEE, Kochi, Kerala, pp. 100-104, 2010.

Publisher : IEEE

Year : 2013

Voice Your Views -5 –Should the death penalty be abolished?

Cite this Research Publication : Sowmya, “Voice Your Views -5 –Should the death penalty be abolished?”, The Hindu Metroplus, CBE Edition , Coimbatore, 2013.

Publisher : The Hindu Metroplus, CBE Edition

Year : 2013

Voice Your Views -4- What do you think should be censored from movies?

Cite this Research Publication : Sowmya, “Voice Your Views -4- What do you think should be censored from movies?”, The Hindu Metroplus, CBE Edition, Coimbatore, 2013.

Publisher : The Hindu Metroplus, CBE Edition

Year : 2013

Voice Your Views -3- Favorite yet unusual getaways at Coimbatore

Cite this Research Publication : Sowmya, “Voice Your Views -3- Favorite yet unusual getaways at Coimbatore”, The Hindu Metroplus, CBE Edition, Coimbatore, 2013.

Publisher : The Hindu Metroplus, CBE Edition

Year : 2013

Voice Your Views -2 – Is Coimbatore Safe for Women?

Cite this Research Publication : Sowmya, “Voice Your Views -2 – Is Coimbatore Safe for Women?”, The Hindu Metroplus, CBE Edition, Coimbatore, 2013.

Publisher : The Hindu Metroplus, CBE Edition

Year : 2012

Voice Your Views -1 –Is there a way to segregate the volume of garbage we generate?

Cite this Research Publication : Sowmya, “Voice Your Views -1 –Is there a way to segregate the volume of garbage we generate?”, The Hindu Metroplus, CBE Edition, Coimbatore, 2012.

Publisher : The Hindu Metroplus, CBE Edition