Items where Author is "Thanjappan, Sivasutha"
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Article
Sreejith, Reshma and Kanesaraj Ramasamy, R. and Rajendran, Venushini and Haqe, Nurul Azwaani Salehuddin and Ejaz, Muhammad Abdullah and Hamzah, Faizal Amri and Md Jamal, Shamsuriani and Thanjappan, Sivasutha (2026) A Comparative Study of Random Forest and Convolutional Neural Network for Lung Sound Classification. Lecture Notes in Networks and Systems, 1525. pp. 467-479. ISSN 2367-3370
Jamal, Arshad and Kanesaraj Ramasamy, R. and Abdullah, Junaidi and Thanjappan, Sivasutha and Hamzah, Faizal Amri and Jamal, Shamsuriani Bt Md (2025) Energy-Efficient Biomedical Signal Decoupling Via Optimized Generative AI Models. Energy-Efficient Algorithms and Systems in Computing, 629. pp. 57-73. ISSN 2198-4182
Sreejith, Reshma and Ramasamy, R. Kanesaraj and Mohd Isa, Wan Noorshahida and Abdullah, Junaidi and Thanjappan, Sivasutha and Hamzah, Faizal Amri and Jamal, Shamsuriani Bt Md (2025) Energy-Efficient COPD Detection Using an Optimized Deep Learning Model for Medical Systems. Studies in Systems, Decision and Control, 629. pp. 39-55. ISSN 2198-4182
Ramasamy, R. Kanesaraj and Thanjappan, Sivasutha (2021) A conceptual study on internet of things implementation to improve accuracy of pre-hospital care using smart stethoscopes. Australian Journal of Mechanical Engineering, 16 (2). pp. 1676-1687. ISSN 1448-4846
Conference or Workshop Item
Sreejith, Reshma and Ramasamy, R. Kanesaraj and Mohd Isa, Wan Noorshahida and Abdullah, Junaidi and Md. Jamal, Shamsuriani and Amri Hamzah, Faizal and Thanjappan, Sivasutha (2026) RespireNet: Enhancing Lung Sound Classification using CNN-TCN Hybrid Approach. In: AIAT 2025: 2025 5th International Conference on Artificial Intelligence and Application Technologies, Kyoto, Japan, 4-6 December 2025.
Ramasamy, R. Kanesaraj and Thanjappan, Sivasutha and Jamal, Shamsuriani Md and Hamzah, Faizal Amri (2025) Enhancing Emergency Department Triage Effectiveness with ESI Model. In: International Conference on Data Science, Computation, and Security, IDSCS 2024, 7 - 9 November 2024, Ghaziabad, India.