| Review of security challenges in healthcare internet of things R Somasundaram, M Thirugnanam Wireless Networks 27 (8), 5503-5509, 2021 | 87 | 2021 |
| Improving the prediction rate of diabetes diagnosis using fuzzy, neural network, case based (FNC) approach M Thirugnanam, P Kumar, SV Srivatsan, CR Nerlesh Procedia engineering 38, 1709-1718, 2012 | 50 | 2012 |
| An ontology-based system for predicting disease using SWRL rules M Thirugnanam, T Thirugnanam, R Mangayarkarasi International Journal of Computer Science and Business Informatics 7 (1), 2013 | 22 | 2013 |
| Quality metrics tool for object oriented programming M Thirugnanam, JN Swathi International Journal of computer theory and engineering 2 (5), 712, 2010 | 21 | 2010 |
| Diagnosis of diabetes mellitus based on risk factors M Sumathy, P Kumar, TM Jishnujit, KR Kumar International Journal of Computers and Applications 10 (4), 1-4, 2010 | 21 | 2010 |
| A novel approach for analyzing human emotions based on electroencephalography (EEG) P Lahane, M Thirugnanam 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-6, 2017 | 20 | 2017 |
| Automatic Defect Detection and Counting In Radiographic Weldment Images SK Thiruganam, Mythili, S. Margret Anouncia International Journal of Computer Applications, 2010 | 18 | 2010 |
| Human emotion detection and stress analysis using EEG signal P Lahane, M Thirugnanam International Journal of Innovative Technology and Exploring Engineering …, 2019 | 16 | 2019 |
| Quality measurements of fruits and vegetables using sensor network A Bandal, M Thirugnanam Proceedings of the 3rd International Symposium on Big Data and Cloud …, 2016 | 12 | 2016 |
| Ontology based disease information system M Thirugnanam, M Ramaiah, V Pattabiraman, R Sivakumar Procedia engineering 38, 3235-3241, 2012 | 12 | 2012 |
| Cardiomyopathy-induced arrhythmia classification and pre-fall alert generation using convolutional neural network and long short-term memory model M Thirugnanam, MS Pasupuleti Evolutionary Intelligence 14 (2), 789-799, 2021 | 11 | 2021 |
| Hybrid tool for diagnosis of diabetes M Thirugnanam, T Thirugnanam, S Sumathy, P Swarnalatha IIOAB JOURNAL 7 (5), 74-84, 2016 | 6 | 2016 |
| Literature review of human stress analysis using EEG signal M Lahane, P.S., Thirugnanam Research Journal of Pharmaceutical, Biological and Chemical Sciences 7 (5 …, 2016 | 6 | 2016 |
| Review on communication security issues in IoT medical devices R Somasundaram, M Thirugnanam Internet of things (IoT), 189-210, 2017 | 5 | 2017 |
| Addressing identity and location privacy of things for indoor—Case study on Internet of Everything’s (IoE) A Nadargi, M Thirugnanam Proceedings of the 3rd International Symposium on Big Data and Cloud …, 2016 | 4 | 2016 |
| An integrated approach for feature extraction and defect detection in industrial radiographic images–case study on welding defects M Thirugnanam, SM Anouncia International Journal of Industrial and Systems Engineering 17 (4), 424-448, 2014 | 4 | 2014 |
| IoT in Healthcare: Breaching Security Issues R Somasundaram, M Thirugnanam Securing the Internet of Things: Concepts, Methodologies, Tools, and …, 2020 | 3 | 2020 |
| Preventing unauthorized access to internet-of-things medical devices using packet filtering device level embedded firewall R Somasundaram, M Thirugnanam Journal of Computational and Theoretical Nanoscience 15 (6-7), 2174-2178, 2018 | 3 | 2018 |
| A novel RGB based steganography using prime component alteration technique A Sathyan, M Thirugnanam, S Hazra IIOAB J 7 (5), 58-73, 2016 | 3 | 2016 |
| Review of Effort Distribution in IT Companies R Mukherjee, T Gupta, M Thirugnanam | 3 | 2016 |
