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