Faculty Bio

Year : 2019

Post-Operative Patients Analysis using Data Mining Techniques

Cite this Research Publication : Anjana Menon, R, S., and M. Soumya Krishnan, “Post-Operative Patients Analysis using Data Mining Techniques ”, International Journal of Recent Technology and Engineering (IJRTE) , vol. 8, no. 1, 2019.

Publisher : International Journal of Recent Technology and Engineering (IJRTE)

Year : 2019

Crowd Sourced Software Engineering; An Agile Approach

Cite this Research Publication : Ann Joseph, Reshma Sebastian, and M. Soumya Krishnan, “Crowd Sourced Software Engineering; An Agile Approach”, International Journal of Recent Technology and Engineering (IJRTE) , vol. 8, no. 1, 2019.

Publisher : International Journal of Recent Technology and Engineering (IJRTE)

Year : 2018

RFP based Requirement Prioritization – A One-Step Solution

Cite this Research Publication : M. Soumya Krishnan, “RFP based Requirement Prioritization – A One-Step Solution”, Elsevier, Materials Today: Proceedings, vol. 5, no. 1, pp. 642-649, 2018.

Publisher : Elsevier, Materials Today: Proceedings .

Year : 2016

Solution model for requirement prioritization

Cite this Research Publication : A. Viswanathan, Nair, S. R., and Krishnan, S. M., “Solution model for requirement prioritization”, International Journal of Control Theory and Applications, vol. 9, pp. 7489-7496, 2016.

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

Year : 2016

Influence of agile on Indian IT companies

Cite this Research Publication : M. K. Sruthy, Surya, M., and M. Krishnan, S., “Influence of agile on Indian IT companies”, International Journal of Control Theory and Applications, vol. 9, pp. 6659-6666, 2016.

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

Year : 2023

Convolutional and Artificial Neural Network Collated to Descry Brain Tumor

Cite this Research Publication : Athira, C., Dhanya, J.R., Soumya Krishnan, M. (2023). Convolutional and Artificial Neural Network Collated to Descry Brain Tumor. Recent Advances in Mechanical Engineering. ICRAMERD 2022. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-9493-7_35

Publisher : Springer link

Year : 2023

Electricity Demand Forecasting In Kerala Using Machine Learning Models

Cite this Research Publication : Anna Saji; Arya Prakash; M Soumya Krishnan; “Electricity Demand Forecasting In Kerala Using Machine Learning Models”, 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, DOI: 10.1109/CONIT59222.2023.10205925, IEEE Xplore

Year : 2023

Water Quality Analysis of Canals Using Machine Learning Algorithms and Hyperparameter Turning

Cite this Research Publication : N. Anil, A. Ram and M. S. Krishnan, "Water Quality Analysis of Canals Using Machine Learning Algorithms and Hyperparameter Turning," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-5, doi: 10.1109/ICCCNT56998.2023.10307933; IEEE Xplore

Publisher : IEEE

Year : 2022

A Study on Data Compression Algorithms for Its Efficiency Analysis

Cite this Research Publication : Rodrigues, C., Jishnu, E.M., Nair, C.R., Soumya Krishnan, M. (2022). A Study on Data Compression Algorithms for Its Efficiency Analysis. Ubiquitous Intelligent Systems. Smart Innovation, Systems and Technologies, vol 243. Springer, Singapore. https://doi.org/10.1007/978-981-16-3675-2_36

Publisher : Springer link

Year : 2022

Handwriting Analysis Using Deep Learning Approach for the Detection of Personality TraitsUbiquitous Intelligent Systems

Cite this Research Publication : Nair, G.H., Rekha, V., Soumya Krishnan, M. (2022). Handwriting Analysis Using Deep Learning Approach for the Detection of Personality TraitsUbiquitous Intelligent Systems. Smart Innovation, Systems and Technologies, vol 243. Springer, Singapore. https://doi.org/10.1007/978-981-16-3675-2_40

Year : 2022

Comparative Analysis of Apriori and ECLAT Algorithm for Frequent Itemset Data MiningUbiquitous Intelligent Systems

Cite this Research Publication : Krishnan, M.S., Nair, A.S., Sebastian, J. (2022). Comparative Analysis of Apriori and ECLAT Algorithm for Frequent Itemset Data MiningUbiquitous Intelligent Systems. Smart Innovation, Systems and Technologies, vol 243. Springer, Singapore. https://doi.org/10.1007/978-981-16-3675-2_37

Publisher : Springer link