| 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 | 69 | 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| Retracted article: machine learning method based detection and diagnosis for epilepsy in EEG signal S Deivasigamani, C Senthilpari, WH Yong Journal of Ambient Intelligence and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 | 59 | 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 | 53 | 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 | 17 | 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 | 7 | 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 | 7 | 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 | 6 | 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 | 6 | 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 |
| 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 | 3 | 2023 |
| 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 | 3 | 2023 |
| IoT Based Farming System MKAAK ChekHong LEE, Manickam RAMASAMY, S.DEIVASIGAMANI Applied Mathematics, Modeling and Simulation, Proceedings of AMMC 30, 1059-1069, 2022 | 3* | 2022 |
| Epileptic EEG signal classifications based on DT-CWT and SVM classifier PKR S.Deivasigamani, C.Senthilpari, Wong Hin Yong Journal of Engineering Research, 2021 | 3* | 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 | 3* | 2021 |
| An Efficient Modified Black Widow Optimized Node Localization in Wireless Sensor Network VP Kavitha, B Sakthivel, S Deivasigamani, K Jayaram, ... IETE Journal of Research 70 (12), 8404-8413, 2024 | 2 | 2024 |
| Development of a Wearable Diagnostic and Therapeutic Device for Hypo and Hyperthermic Patients K Gowrishankar, MR Rashmi, S Deivasigamani 2023 3rd International Conference on Technological Advancements in …, 2023 | 1 | 2023 |
| A Novel Battery Charging In Electric Vehicle Using Non Isolated Zeta Converter D Pazhani, SKA Deivasigamani, P Senthilkumar Solid State Technology 63 (6), 22225-22234, 2020 | 1 | 2020 |
| 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 |
| Machine learning-assisted prediction of associated risk factors for depression, anxiety and stress among nursing students KG Deivasigamani1* Hani J. Hamad2, Zaher Al-Bashabsheh2,, Madhanagopal ... Cuestiones de Fisioterapia 54 (2), 284-294, 2025 | | 2025 |
| 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, 115-133, 2024 | | 2024 |
C.SenthilpariMultimedia University, Cyberjaya CampusOverená e-mailová adresa na: mmu.edu.my