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2020 – today
- 2026
[j7]X. Little Flower
, S. Poonguzhali:
Evaluation of multi-channel EMG for enhancing control in mobility assistive devices using neck/shoulder movement classification. Biomed. Signal Process. Control. 112: 108506 (2026)- 2024
- [j6]S. Saranya, S. Poonguzhali:
Principal component analysis biplot visualization of electromyogram features for submaximal muscle strength grading. Comput. Biol. Medicine 182: 109142 (2024) - [c2]A P. Tharani, S. Poonguzhali:
Enhanced Community Identification Based on Spider Ant Colony Relative Feature Mining Algorithm Using Dense Net Convolutional Neural Network. ICCCNT 2024: 1-9 - 2023
- [j5]S. Saranya, S. Poonguzhali:
A resistive force correlated electromyogram feature selection method for muscle strength prediction. Biomed. Signal Process. Control. 79(Part): 104174 (2023) - [j4]C. S. Kanimozhi Selvi, D. Jayaprakash, S. Poonguzhali:
Early diagnosis of autism using indian autism grading tool. J. Intell. Fuzzy Syst. 44(3): 3851-3865 (2023) - 2022
- [j3]K. Mohanavelu, S. Poonguzhali, A. Janani, S. Vinutha:
Machine learning-based approach for identifying mental workload of pilots. Biomed. Signal Process. Control. 75: 103623 (2022) - 2021
- [j2]S. Poonguzhali, Rekha Chakravarthi:
A sensor based intelligent system for classification and assistance of diabetes patients in telemedicine technology. J. Intell. Fuzzy Syst. 40(4): 6365-6374 (2021) - [j1]P. Ajitha, A. Sivasangari, R. Immanuel Rajkumar, S. Poonguzhali:
Design of text sentiment analysis tool using feature extraction based on fusing machine learning algorithms. J. Intell. Fuzzy Syst. 40(4): 6375-6383 (2021)
2000 – 2009
- 2006
- [c1]S. Poonguzhali, Gurubatham Ravindran:
Performance Evaluation of Feature Extraction methods for Classifying Abnormalities in Ultrasound Liver Images using Neural Network. EMBC 2006: 4791-4794
Coauthor Index
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