Classification of focal and nonfocal EEG signals using ANFIS classifier for epilepsy detection S Deivasigamani, C Senthilpari, WH Yong International Journal of Imaging Systems and Technology 26 (4), 277-283, 2016 | 64 | 2016 |
RETRACTED ARTICLE: Machine learning method based detection and diagnosis for epilepsy in EEG signal S Deivasigamani, C Senthilpari, WH Yong Journal of Ambient Intelligence and Humanized Computing 12 (3), 4215-4221, 2021 | 54 | 2021 |
Carry based approximate full adder for low power approximate computing M Ramasamy, G Narmadha, S Deivasigamani 2019 7th International Conference on Smart Computing & Communications (ICSCC …, 2019 | 45 | 2019 |
Performance of implantable antenna at ISM band characteristics for biomedical base G Narmadha, M Malathi, SA Kumar, T Shanmuganantham, ... ICT Express 8 (2), 198-201, 2022 | 16 | 2022 |
Design of Smart Pulse Oximeter Using ATMEGA 328 Microcontroller Deivasigamani.S, G.Narmadha, Manickam Ramasamy, Haarindra Prasad, Pratap Nair International Journal of Emerging Technologies 11 (3), 696-700, 2020 | 6 | 2020 |
Computer Aided Automatic Detection and Classification of EEG Signals for Screening Epilepsy Disorder. S Deivasigamani, C Senthilpari, HY Wong Journal of Information Science & Engineering 34 (3), 2018 | 6 | 2018 |
A Novel SVM and K-NN Classifier Based Machine Learning Technique for Epileptic Seizure Detection. CK Ang International Journal of Online & Biomedical Engineering 19 (7), 2023 | 5 | 2023 |
Computational Intelligence Approach to Improve The Classification Accuracy of Brain Tumor Detection SK UmaMaheswaran, S Deivasigamani, K Joshi, D Verma, SK Rajamani, ... 2022 11th International Conference on System Modeling & Advancement in …, 2022 | 5 | 2022 |
Design and Implementation of Time Efficient Carry Select Adder using FPGA G Narmadha, K Balasubadra, S Deivasigamani International Journal of Applied Engineering Research 10 (3), 7215-7227, 2015 | 4 | 2015 |
Real-Time Monitoring of Patient Activity Using IoT and Machine Learning in Healthcare DSD Sonali Gupta, Gigih Forda Nama International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN …, 2023 | 2 | 2023 |
Epileptic EEG signal classifications based on DT-CWT and SVM classifier PKR S.Deivasigamani, C.Senthilpari, Wong Hin Yong Journal of Engineering Research, 2021 | 2* | 2021 |
A LOW POWER AND HIGH SPEED APPROXIMATE ADDER FOR IMAGE PROCESSING APPLICATIONS MMS Dr. G. Narmadha, Dr. S. Deivasigamani, Dr. K. Balasubadra Journal of Engineering Research, 2021 | 2* | 2021 |
Implementation of outcome-based education for engineering accreditation exercise S Deivasigamani, R Raguraman, B Selladuri, RB Ahmad, ... Journal of Positive School Psychology 6 (2), 2185-2192, 2022 | 1 | 2022 |
Gabor Transform Based Glioma Brain Tumor Detection Using Neural Networks S. Deivasigamani, Vissakam Ganesan, Dhinakar Pazhani, Manicakm Ramasamy, Umayal International Journal of Engineering and Technology 10, 1555-1561, 2019 | 1* | 2019 |
An efficient multi-path delay commutator architecture G Narmadha, S Deivasigamani, K Balasubadra International Journal of Computer Applications 98 (17), 2014 | 1 | 2014 |
Estimating the Optimal State of Charge for Electric Car Batteries Using an Extended Kalman Filter KA S. Deivasigamani, Ashwani Sethi, Subhash Khatarkar, Solleti Phani Kumar ... Journal of Electrical Systems 20 (6s), 1352-1358, 2024 | | 2024 |
Chest X-Ray Analysis for COVID-19 Diagnosis Using an Exascale Computation and Machine Learning Framework M Dhinakaran, S Deivasigamani, S Kar, N Kankalla, V Malathy, S Sharma Human Cancer Diagnosis and Detection Using Exascale Computing 115, 115, 2024 | | 2024 |
Genetic Algorithm Based Detection of Breast Cancer using Least Square-Support Vector Machine Classifie SDMR K. Gowrishankar , Sudhakara Pandian , G. Narmadha , Muthukumar Vellaisamy ARPN Journal of Engineering and Applied Sciences 18 (21), 2390-2400, 2024 | | 2024 |
Detection of Human Stress Using Optimized Feature Selection and Classification in ECG Signals M G.Narmadha, Deivasigamani S, Vellaisamy, ... Mathematical Problems in Engineering 2023, 2023 | | 2023 |
Advance of Artificial Intelligence-The New Machine Learning DBB Dr. R Krishna Vardhan Reddy, Parveen K.Tomar, Dr. S. Deivasigamani | | 2023 |