T
Ts. Dr. Yaw Chong Tak
Universiti Tenaga Nasional Institute of Sustainable Energy, Universiti Tenaga Nasional
Research areas: Engineering · Control and Systems Engineering · Machine Fault Diagnosis Techniques · Machine Learning and ELM · Neural Networks and Applications
0000-0002-5044-6110
Employment
-
Universiti Tenaga Nasional Institute of Sustainable Energy Post-Doctoral Researcher2019 - 2023
Education
-
Universiti Tenaga Nasional Ph.D. in Engineering2013 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (43)
- Multi-scale convolutional and temporal modeling for robust face recognition: Introducing ScaleSyncNet Save
- Drone endurance in hydrogen fuel cell hybrid technologies: Power architectures and design strategies Save
- Decarbonizing the future for the transportation and aviation industries: Green hydrogen as the sustainable fuel solution Save
- Constructing multifunctional novel noble-metal free NiS/ZnS/g-C3N4 ternary nanocomposites for highly active superior photocatalytic water splitting Save
- Magnetic field-enhanced electrodialysis regeneration of deep eutectic solvent as a greener desiccant for air dehumidification Save
- Lionfish Search Algorithm: A Novel Nature‐Inspired Metaheuristic Save
- SDN-Based VANET Routing: A Comprehensive Survey on Architectures, Protocols, Analysis, and Future Challenges Save
- Unveiling the future: A simulation and analysis of hydrogen production using 1kW electrolyzer with MATLAB approach Save
- RETRACTED: Artificial immune systems (GA-AIS) enabled power loss mitigation in distributed generation: X3PAIS optimization approaches Save
- Enhancement of hydrogen storage performance in cost effective novel g–C3N4–MoS2–Ni(OH)2 ternary nanocomposite fabricated via hydrothermal method Save
- Predication of entropy generation rate in a concentrating photovoltaic thermal system with twisted tube turbulator using Boosted regression tree algorithm Save
- Advances in Federated Learning: Combining Local Preprocessing With Adaptive Uncertainty Symmetry to Reduce Irrelevant Features and Address Imbalanced Data Save
- Energizing the thermophysical properties of phase change material using carbon-based nano additives for sustainable thermal energy storage application in photovoltaic thermal systems Save
- Advancing renewable fuel integration: A comprehensive response surface methodology approach for internal combustion engine performance and emissions optimization Save
- Detecting surface discharge faults in switchgear by using hybrid model Save
- Harnessing Nature's Ingenuity: A Comprehensive Exploration of Nanocellulose from Production to Cutting-Edge Applications in Engineering and Sciences Save
- An Approach for the Optimization of Thermal Conductivity and Viscosity of Hybrid (Graphene Nanoplatelets, GNPs: Cellulose Nanocrystal, CNC) Nanofluids Using Response Surface Methodology (RSM) Save
- Detecting Arcing Faults in Switchgear by Using Deep Learning Techniques Save
- Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods Save
- Heat Transfer Enhancement by Hybrid Nano Additives—Graphene Nanoplatelets/Cellulose Nanocrystal for the Automobile Cooling System (Radiator) Save