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Dr. S. Deivasigamani
Dr. S. Deivasigamani
Assistant Professor of Electrical and Electronics Engineering
Verified email at ucsiuniversity.edu.my
Title
Cited by
Cited by
Year
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
642016
RETRACTED ARTICLE: Machine learning method based detection and diagnosis for epilepsy in EEG signal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
542021
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
452019
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
162022
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
62020
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
62018
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
52023
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
52022
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
42015
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
22023
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
12022
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
12014
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
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