A comprehensive analysis of nature-inspired meta-heuristic techniques for feature selection problem M Sharma, P Kaur Archives of Computational Methods in Engineering 28, 1103-1127, 2021 | 269 | 2021 |
Big data and machine learning based secure healthcare framework P Kaur, M Sharma, M Mittal Procedia computer science 132, 1049-1059, 2018 | 262 | 2018 |
A new hybrid algorithm based on grey wolf optimization and crow search algorithm for unconstrained function optimization and feature selection S Arora, H Singh, M Sharma, S Sharma, P Anand Ieee Access 7, 26343-26361, 2019 | 250 | 2019 |
Prevalence and diagnosis of neurological disorders using different deep learning techniques: a meta-analysis R Gautam, M Sharma Journal of medical systems 44 (2), 49, 2020 | 176 | 2020 |
2019-nCoV pandemic: A disruptive and stressful atmosphere for Indian academic fraternity R Gautam, M Sharma Brain, behavior, and immunity 88, 948, 2020 | 155 | 2020 |
Diagnosis of human psychological disorders using supervised learning and nature-inspired computing techniques: a meta-analysis P Kaur, M Sharma Journal of medical systems 43 (7), 204, 2019 | 130 | 2019 |
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans S Sharma, G Singh, M Sharma Computers in Biology and Medicine 134, 104450, 2021 | 123 | 2021 |
A comprehensive review on nature inspired computing algorithms for the diagnosis of chronic disorders in human beings R Gautam, P Kaur, M Sharma Progress in Artificial Intelligence 8 (4), 401-424, 2019 | 73 | 2019 |
Stark assessment of lifestyle based human disorders using data mining based learning techniques M Sharma, G Singh, R Singh IRBM 38 (6), 305-324, 2017 | 68 | 2017 |
A chaotic and stressed environment for 2019-nCoV suspected, infected and other people in India: Fear of mass destruction and causality S Sharma, M Sharma, G Singh Asian journal of psychiatry 51, 102049, 2020 | 63 | 2020 |
Performance analysis of statistical and supervised learning techniques in stock data mining M Sharma, S Sharma, G Singh Data 3 (4), 54, 2018 | 63 | 2018 |
A novel chaotic interior search algorithm for global optimization and feature selection S Arora, M Sharma, P Anand Applied Artificial Intelligence 34 (4), 292-328, 2020 | 58 | 2020 |
The rising number of COVID-19 cases reflecting growing search trend and concern of people: a Google Trend analysis of eight major countries M Sharma, S Sharma Journal of Medical Systems 44 (7), 117, 2020 | 55 | 2020 |
An advanced conceptual diagnostic healthcare framework for diabetes and cardiovascular disorders M Sharma, G Singh, R Singh arXiv preprint arXiv:1901.10530, 2019 | 49 | 2019 |
A survey on using nature inspired computing for fatal disease diagnosis P Kaur, M Sharma International Journal of Information System Modeling and Design (IJISMD) 8 …, 2017 | 47 | 2017 |
A holistic approach to remote patient monitoring, fueled by ChatGPT and Metaverse technology: The future of nursing education M Sharma, S Sharma Nurse education today 131, 105972, 2023 | 44 | 2023 |
A comprehensive meta-analysis of emerging swarm intelligent computing techniques and their research trend P Monga, M Sharma, SK Sharma Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022 | 44 | 2022 |
Clinical decision support system query optimizer using hybrid Firefly and controlled Genetic Algorithm M Sharma, G Singh, R Singh Journal of King Saud University-Computer and Information Sciences 33 (7 …, 2021 | 43 | 2021 |
Design and analysis of stochastic DSS query optimizers in a distributed database system M Sharma, G Singh, R Singh Egyptian informatics journal 17 (2), 161-173, 2016 | 42 | 2016 |
Analysis of data mining and soft computing techniques in prospecting diabetes disorder in human beings: a review P Kaur, M Sharma Int. J. Pharm. Sci. Res 9 (7), 2700-2719, 2018 | 40 | 2018 |