Contemporary survey on effectiveness of machine and deep learning techniques for cyber security P Suresh, K Logeswaran, P Keerthika, RM Devi, K Sentamilselvan, ... Machine Learning for Biometrics, 177-200, 2022 | 25 | 2022 |
Detection on sarcasm using machine learning classifiers and rule based approach K Sentamilselvan, P Suresh, GK Kamalam, S Mahendran, D Aneri IOP Conference Series: Materials Science and Engineering 1055 (1), 012105, 2021 | 18 | 2021 |
Twitter Sentiment Analysis using Machine Learning Techniques K. Sentamilselvan, D. Aneri, A. C. Athithiya, P. Kani Kumar International Journal of Engineering and Advanced Technology (IJEAT) 9 (3 …, 2020 | 14* | 2020 |
Cross site request forgery: Preventive measures K Sentamilselvan, N Ramkumar International Journal of Computer Applications 106 (11), 2014 | 10 | 2014 |
Survey on Cross Site Request Forgery Sentamilselvan K, Dr.S.Lakshamana Pandian, Dr.K.Sathiyamurthy | 9* | 2013 |
SLA-based group tasks max-min (gtmax-min) algorithm for task scheduling in multi-cloud environments GK Kamalam, K Sentamilselvan Operationalizing Multi-Cloud Environments: Technologies, Tools and Use Cases …, 2022 | 7 | 2022 |
Exploration of quantum blockchain techniques towards sustainable future cybersecurity H Muthukrishnan, P Suresh, K Logeswaran, K Sentamilselvan Quantum Blockchain: An Emerging Cryptographic Paradigm, 317-340, 2022 | 4 | 2022 |
Cloud-based big data analysis tools and techniques towards sustainable smart city services P Suresh, P Keerthika, V Sathiyamoorthi, K Logeswaran, ... Decision support systems and industrial IoT in smart grid, factories, and …, 2021 | 4 | 2021 |
Limit Value Task Scheduling (LVTS): an Efficient Task Scheduling Algorithm for Distributed Computing Environment G.K.Kamalam, K.Sentamilselvan International Journal of Recent Technology and Engineering (IJRTE) 8 (4 …, 2019 | 4 | 2019 |
An energy efficient secure routing for mobile nodes for multi hop adhoc network R Dhanapal, V Kalpana, R Chiwariro, N Thanagadurai, K Sentamilselvan, ... Journal of Computational and Theoretical Nano science 17, 1-4, 2020 | 3 | 2020 |
Security threats and privacy challenges in the quantum blockchain: A contemporary survey K Sentamilselvan, P Suresh, GK Kamalam, H Muthukrishnan, ... Quantum Blockchain: An Emerging Cryptographic Paradigm, 293-316, 2022 | 2 | 2022 |
An energy efficient secure routing for mobile nodes for Multihop Adhoc network R Dhanapal, V Kalpana, R Chiwariro, N Thangadurai, K Sentamilselvan, ... Journal of Computational and Theoretical Nanoscience 18 (3), 973-976, 2021 | 2 | 2021 |
Potential Finish Time and Min-mean Algorithm for allocating Meta-Tasks on distributed Computational Grid K.Sentamilselvan, G.K.Kamalam International Journal of Recent Technology and Engineering (IJRTE) 8 (4 …, 2019 | 2* | 2019 |
Maize Leaf Disease Detection Using Convolutional Neural Network K Sentamilselvan, M Hari Rithanya, TV Dharshini, ... Proceedings of Third Doctoral Symposium on Computational Intelligence: DoSCI …, 2022 | 1 | 2022 |
LBMM in cloud computing R Vasanthi, MM Bharathi, K Sentamilselvan, P Priyadharshini, ... Annals of the Romanian Society for Cell Biology, 1530-1536, 2021 | 1 | 2021 |
Smart Grid IoT: An Intelligent Energy Management in Emerging Smart Cities RS Shudapreyaa, GK Kamalam, P Suresh, K Sentamilselvan Smart Grids and Internet of Things: An Energy Perspective, 431-454, 2023 | | 2023 |
Exploration of Assorted Modernizations in Forecasting Renewable Energy Using Low Power Wireless Technologies for IoTSG K Logeswaran, P Suresh, AP Ponselvakumar, S Savitha, ... Smart Grids and Internet of Things: An Energy Perspective, 157, 2023 | | 2023 |
Future Directions of 6G Architecture With Integration of Sensing, Communication, and Security K Sentamilselvan, GK Kamalam, P Suresh, K Logeswaran, P Keerthika Handbook of Research on Design, Deployment, Automation, and Testing …, 2022 | | 2022 |
Alzheimer’s Disease Detection Using Machine Learning and Deep Learning Algorithms K Sentamilselvan, J Swetha, M Sujitha, R Vigasini International Conference on Innovations in Bio-Inspired Computing and …, 2021 | | 2021 |
An Improving ICU Patient Mortality Prediction Using Artificial Neural Networks K. Sentamilselvan, A. Nirmal, P. Nivethitha, S. Subalakshmi International Journal of Advanced Science and Technology 29 (5), 6079 - 6089, 2020 | | 2020 |