| Machine learning and IoT-based cardiac arrhythmia diagnosis using statistical and dynamic features of ECG RL Devi, V Kalaivani The journal of supercomputing 76 (9), 6533-6544, 2020 | 81 | 2020 |
| Analysis of EEG signal for the detection of brain abnormalities M Kalaivani, V Kalaivani, VA Devi at International Journal of Computer Applications® year, 2014 | 59 | 2014 |
| Enhanced BB84 quantum cryptography protocol for secure communication in wireless body sensor networks for medical applications V Kalaivani Personal and ubiquitous computing 27 (3), 875, 2023 | 33 | 2023 |
| Big data analysis for heart disease detection system using map reduce technique G Vaishali, V Kalaivani 2016 International Conference on Computing Technologies and Intelligent Data …, 2016 | 32 | 2016 |
| Stress causing Arrhythmia detection from ECG Signal using HMM K Vimala International Journal of Innovative Research in Computer and Communication …, 2014 | 19 | 2014 |
| Dynamic web page segmentation based on detecting reappearance and layout of tag patterns for small screen devices K Rajkumar, V Kalaivani 2012 International Conference on Recent Trends in Information Technology …, 2012 | 15 | 2012 |
| Forest fire detection on LANDSAT images using support vector machine P Chanthiya, V Kalaivani Concurrency and Computation: Practice and Experience 33 (16), e6280, 2021 | 9 | 2021 |
| Classification of cardiac vascular disease from ECG signals for enhancing modern health care scenario K Vimala, DV Kalaivani Health Informatics-An International Journal (HIIJ) 2 (4), 63-72, 2013 | 9 | 2013 |
| Diagnosis of arrhythmia diseases using heart sounds and ECG signals V Kalaivani Российский кардиологический журнал, 35-41, 2014 | 7 | 2014 |
| A remote healthcare monitoring system for faster identification of cardiac abnormalities from compressed ECG using advanced data mining approach N Sathiya Rani, K Vimala, V Kalaivani Proceedings of the Fourth International Conference on Signal and Image …, 2013 | 7 | 2013 |
| A novel custom optimized convolutional neural network for a satellite image by using forest fire detection V Kalaivani, P Chanthiya Earth Science Informatics 15 (2), 1285-1295, 2022 | 5 | 2022 |
| Hybrid cryptosystem in wireless body area networks using message authentication code and modified and enhanced lattice‐based cryptography (MAC‐MELBC) in healthcare applications V Anusuya Devi, V Kalaivani Concurrency and Computation: Practice and Experience 33 (9), e6132, 2021 | 5 | 2021 |
| Automated recognition of obstructive sleep apnea using ensemble support vector machine classifier V Kalaivani International Journal of Biomedical Engineering and Technology 33 (3), 274-289, 2020 | 5 | 2020 |
| Phonocardiographic signal and electrocardiographic signal analysis for the detection of cardiovascular diseases V Kalaivani, RL Devi, V Anusuyadevi Biosciences Biotechnology Research Asia 15 (1), 79-86, 2018 | 5 | 2018 |
| Analyzing social media data for understanding students learning experiences and predicting their psychological pressure T Kovilpatti, V Kalaivani International Journal of Pure and Applied Mathematics 118 (7), 513-521, 2018 | 5 | 2018 |
| Health care monitoring for the CVD detection using soft computing techniques NS Rani, K Vimala, DV Kalaivani International Journal in Foundations of Computer Science and Technology …, 2013 | 5 | 2013 |
| Predicting the abnormality of brain and compute the cognitive power of human using deep learning techniques using functional magnetic resonance images K Palraj, V Kalaivani Soft Computing 25 (23), 14461-14478, 2021 | 3 | 2021 |
| Adaptive neuro-fuzzy inference healthcare system for cardiac arrhythmia detection using heart rate variability features R Lakshmi Devi, V Kalaivani, BL Velammal Advances in Automation, Signal Processing, Instrumentation, and Control …, 2021 | 3 | 2021 |
| Cardiac Arrhythmia Diagnosis System from Electrocardiogram Signal using Machine Learning Approach RL Devi, V Kalaivani 2018 International Conference on Intelligent Computing and Communication for …, 2018 | 3 | 2018 |
| Emotional stress recognition using multi-modal bio-signals S Muthu Meena, K Vimala, V Kalaivani Biomet. Bioinform 7, 17-22, 2015 | 3 | 2015 |
