Foo Benedict

According to our database, Foo Benedict authored at least 3 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Advances in Federated Learning: Combining Local Preprocessing With Adaptive Uncertainty Symmetry to Reduce Irrelevant Features and Address Imbalanced Data.

Zahraa K. Taha, Johnny Koh Siaw Paw, Chong Tak Yaw, Sieh Kiong Tiong, Kumaran Kadirgama, Foo Benedict, Jian-Ding Tan, Kharudin Ali, Azher M. Abed

IEEE Access, 2024

2023

A Survey of Federated Learning From Data Perspective in the Healthcare Domain: Challenges, Methods, and Future Directions.

Zahraa K. Taha, Chong Tak Yaw, Johnny Siaw Paw Koh, Sieh Kiong Tiong, Kumaran Kadirgama, Foo Benedict, Jian-Ding Tan, Yogendra Balasubramaniam

IEEE Access, 2023

Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model.

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

IEEE Access, 2023