| A survey on python libraries used for social media content scraping S Thivaharan, G Srivatsun, S Sarathambekai 2020 International Conference on Smart Electronics and Communication (ICOSEC …, 2020 | 21 | 2020 |
| Task scheduling in distributed systems using heap intelligent discrete particle swarm optimization S Sarathambekai, K Umamaheswari Computational Intelligence 33 (4), 737-770, 2017 | 19 | 2017 |
| Blockchain based voting system in local network T Vairam, S Sarathambekai, R Balaji 2021 7th International Conference on Advanced Computing and Communication …, 2021 | 18 | 2021 |
| Intelligent discrete particle swarm optimization for multiprocessor task scheduling problem S Sarathambekai, K Umamaheswari Journal of Algorithms & Computational Technology 11 (1), 58-67, 2017 | 12 | 2017 |
| Task scheduling using adaptive weighted particle swarm optimization with adaptive weighted sum G Vidya, S Sarathambekai, K Umamaheswari, SP Yamunadevi Procedia engineering 38, 3056-3063, 2012 | 12 | 2012 |
| Task Scheduling in Distributed Systems using Discrete Particle Swarm Optimization KU S.Sarathambekai International Journal of Advanced Research in Computer Science and Software …, 2014 | 11 | 2014 |
| Comparison among four modified discrete particle swarm optimization for task scheduling in heterogeneous computing systems S Sarathambekai, K Umamaheswari International Journal of Soft Computing and Engineering 3 (2), 371-378, 2013 | 9 | 2013 |
| Multiprocessor task scheduling problem using hybrid discrete particle swarm optimization T Vairam, S Sarathambekai, K Umamaheswari Sādhanā 43 (12), 206, 2018 | 8 | 2018 |
| Multi-objective optimization techniques for task scheduling problem in distributed systems S Sarathambekai, K Umamaheswari The Computer Journal 61 (2), 248-263, 2018 | 8 | 2018 |
| Performance comparison of discrete particle swarm optimisation and shuffled frog leaping algorithm in multiprocessor task scheduling problem S Sarathambekai, K Umamaheswari International Journal of Advanced Intelligence Paradigms 9 (2-3), 139-163, 2017 | 7 | 2017 |
| Evaluation of Naïve Bayes and voting classifier algorithm for credit card fraud detection T Vairam, S Sarathambekai, S Bhavadharani, AK Dharshini, NN Sri, ... 2022 8th International Conference on Advanced Computing and Communication …, 2022 | 5 | 2022 |
| Python Libraries and Packages for Web Development-A Survey SL Kavya, S Sarathambekai INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 5 (12), 462-464, 2019 | 4 | 2019 |
| Task scheduling using hamming particle swarm optimization in distributed systems S Sarathambekai, K Umamaheswari Computing and Informatics 36 (4), 950-970, 2017 | 4 | 2017 |
| Pre-trained Convolutional Neural Network Model Based Pneumonia Classification from Chest X-Ray Images B Madhubala, S Sarathambekai, T Vairam, S Seelan K, S R, S Swathy | 3 | 2021 |
| Task scheduling using multi-objective particle swarm optimization with hamming inertia weight S Sarathambekai, K Umamaheswari Proceedings of the International Conference on Soft Computing Systems: ICSCS …, 2016 | 3 | 2016 |
| Shuffled frog leaping algorithm in distributed system T Sarathambekai S,Umamaheswari K International Journal of Computer Application 3 (1), 12-15, 2015 | 3* | 2015 |
| A Comparative Analysis of Diabetes Prediction Models using Machine Learning Algorithms S Sarathambekai, T Vairam, P Kumar, R Varun, MG Jawhar 2022 8th International Conference on Advanced Computing and Communication …, 2022 | 2 | 2022 |
| Machine Learning based Prediction Model for Health Care Sector-A Survey K Sathyaseelan, S Sarathambekai 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-7, 2021 | 2 | 2021 |
| Task Scheduling in Heterogeneous Computing Systems Using Swarm Intelligence S Sarathambekai, K Umamaheswari Evolutionary Computation in Scheduling, 73-103, 2020 | 2 | 2020 |
| A software-defined networking (SDN) architecture for smart trash can using IoT T Vairam, S Sarathambekai, D Vigneshwaran EAI International Conference on Big Data Innovation for Sustainable …, 2020 | 2 | 2020 |
