| A CHAID based performance prediction model in educational data mining M Ramaswami, R Bhaskaran arXiv preprint arXiv:1002.1144, 2010 | 313 | 2010 |
| A Study on Feature Selection Techniques in Educational Data Mining, MB Ramaswami Journal of Computing 1 (1), 7-11, 2009 | 237 | 2009 |
| Potential Eye Tracking Metrics and Indicators to Measure Cognitive Load in Human-Computer Interaction Research RM Antony William Joseph Journal of Scientific Research 64 (1), 168-175, 2020 | 115 | 2020 |
| Data imbalance and classifiers: Impact and solutions from a big data perspective K Madasamy, M Ramaswami International Journal of Computational Intelligence Research 13 (9), 2267-2281, 2017 | 51 | 2017 |
| A study on technical indicators in stock price movement prediction using decision tree algorithms JS Vaiz, M Ramaswami American Journal of Engineering Research (AJER) 5 (12), 207-12, 2016 | 27 | 2016 |
| Validating predictive performance of classifier models for multiclass problem in educational data mining M Ramaswami International Journal of Computer Science Issues (IJCSI) 11 (5), 86, 2014 | 20 | 2014 |
| Student performance prediction M Ramaswami, R Rathinasabapathy International Journal of Computational Intelligence and Informatics 1 (4 …, 2012 | 19 | 2012 |
| PriPresent: an embedded prime LightWeight block cipher for smart devices M Girija, P Manickam, M Ramaswami Peer-to-Peer Networking and Applications 14 (4), 2462-2472, 2021 | 16 | 2021 |
| Data security on patient monitoring for future healthcare application BV Kumar, M Ramaswami, P Swathika International Journal of Computer Applications 163 (6), 20-23, 2017 | 16 | 2017 |
| Senior citizens usage towards and perception of modern technology in India JA William, R Murugesh Human Aspects of IT for the Aged Population. Acceptance, Communication and …, 2018 | 10 | 2018 |
| Forecasting stock trend using technical indicators with R JS Vaiz, M Ramaswami International Journal of Computational Intelligence and Informatics 6 (3 …, 2016 | 9 | 2016 |
| A hybrid model to forecast stock trend using support vector machine and neural networks JS Vaiz, M Ramaswami International Journal of Engineering Research and Development (IJERD) Volume …, 2016 | 8 | 2016 |
| Eye tracking to understand impact of aging on mobile phone applications AW Joseph, DV Jeevitha Shree, KPS Saluja, A Mukhopadhyay, ... Design for Tomorrow—Volume 1: Proceedings of ICoRD 2021, 315-326, 2021 | 7 | 2021 |
| Modeling cognitive load in mobile human computer interaction using eye tracking metrics AW Joseph, JS Vaiz, R Murugesh Advances in Artificial Intelligence, Software and Systems Engineering …, 2021 | 6 | 2021 |
| Eye-Tracking Evaluation of Age-Related Differences in User Behaviour on Mobile Applications AW Joseph, R Murugesh Journal of Scientific Research 65 (1), 1-8, 2021 | 5 | 2021 |
| A perusal analysis on hybrid spectrum handoff schemes in cognitive radio networks J Josephine Dhivya, M Ramaswami Intelligent Systems Design and Applications: 18th International Conference …, 2020 | 5 | 2020 |
| A study on quantitative parameters of spectrum handoff in cognitive radio networks JJ Dhivya, R Murugesh International Journal of Wireless & Mobile Networks (IJWMN) Vol 9, 2017 | 5 | 2017 |
| internet of medical things (IoMT) using hybrid security and near field communication (NFC) technology BV Kumar, M Ramaswami, P Swathika Int J Comput Appl 174 (7), 37-40, 2017 | 5 | 2017 |
| Cognitive modeling in human computer interaction: Understanding technology usage in elderly people JA William, R Murugesh 2016 IEEE International Conference on Advances in Computer Applications …, 2016 | 5 | 2016 |
| IPv6 based patient monitoring architecture for future healthcare application BV Kumar, M Ramaswami, P Swathika, P Abinaya International Journal of Computer Science and Information Security 14, 2016 | 4 | 2016 |
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