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Chong Tak Yaw
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2020 – today
- 2023
- [j7]Zahraa K. Taha, Chong Tak Yaw, Johnny Siaw Paw Koh, Sieh Kiong Tiong, Kumaran Kadirgama, Foo Benedict, Jian-Ding Tan, Yogendra Balasubramaniam:
A Survey of Federated Learning From Data Perspective in the Healthcare Domain: Challenges, Methods, and Future Directions. IEEE Access 11: 45711-45735 (2023) - [j6]Yaseen Ahmed Mohammed Alsumaidaee, Johnny Koh Siaw Paw, Chong Tak Yaw, Sieh Kiong Tiong, Chai Phing Chen, Talal Yusaf, Foo Benedict, Kumaran Kadirgama, Tan Chung Hong, Ahmed N. Abdalla:
Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model. IEEE Access 11: 97574-97589 (2023) - [j5]Yaseen Ahmed Mohammed Alsumaidaee, Chong Tak Yaw, Johnny Siaw Paw Koh, Sieh Kiong Tiong, Chai Phing Chen, Talal Yusaf, Ahmed N. Abdalla, Kharudin Ali, Avinash Ashwin Raj:
Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods. Sensors 23(6): 3108 (2023) - 2022
- [j4]Nehad Hameed Hussein, Chong Tak Yaw, Johnny Siaw Paw Koh, Sieh Kiong Tiong, Kok Hen Chong:
A Comprehensive Survey on Vehicular Networking: Communications, Applications, Challenges, and Upcoming Research Directions. IEEE Access 10: 86127-86180 (2022) - 2020
- [j3]Chong Tak Yaw, Keem Siah Yap, Shen Yuong Wong, Hwa Jen Yap, Johnny Siaw Paw Koh:
Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System. IEEE Access 8: 163026-163043 (2020)
2010 – 2019
- 2018
- [j2]Chong Tak Yaw, Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap, Ungku Anisa Ungku Amirulddin, Shing Chiang Tan:
An ELM based multi-agent system and its applications to power generation. Intell. Decis. Technol. 12(2): 163-171 (2018) - 2017
- [j1]Chong Tak Yaw, Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap, Ungku Anisa Ungku Amirulddin, Shing Chiang Tan:
An ELM based Multi-Agent System and its applications to power generation. Intell. Decis. Technol. 11(3): 297-305 (2017) - 2014
- [c1]Chong Tak Yaw, Keem Siah Yap, Hwa Jen Yap, Ungku Anisa Ungku Amirulddin:
An ELM Based Multi Agent Systems Using Certified Belief in Strength. ICONIP (3) 2014: 458-465
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