K. Wong

发表

Modelling and Prediction of Diesel Engine Performance using Relevance Vector Machine

Pak Kin Wong, Ka In Wong, Chun Shun Cheung, 2015 .

Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set

Ka In Wong, Chun Shun Cheung, Pak Kin Wong, 2013, Appl. Soft Comput..

Modeling and optimization of biodiesel engine performance using advanced machine learning methods

Pak Kin Wong, Ka In Wong, Chun Shun Cheung, 2013 .

Adaptive air-fuel ratio control of dual-injection engines under biofuel blends using extreme learning machine

Pak Kin Wong, Ka In Wong, P. Wong, 2018 .

Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies

Chi-Man Vong, Pak-Kin Wong, Ka In Wong, 2017, J. Frankl. Inst..

An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias

Chi-Man Vong, Pak-Kin Wong, Ka In Wong, 2016, Cognitive Computation.

Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller

Pak Kin Wong, Ka In Wong, Chi Man Vong, 2015 .

Online extreme learning machine based modeling and optimization for point-by-point engine calibration

Chi-Man Vong, Pak-Kin Wong, Ka In Wong, 2018, Neurocomputing.

Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search

Pak Kin Wong, Ka In Wong, Chun Shun Cheung, 2015 .

Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis

Chi-Man Vong, Ka In Wong, Pak-Kin Wong, 2014, Appl. Soft Comput..

Adaptive neural control of vehicle yaw stability with active front steering using an improved random projection neural network

Jing Zhao, Chi-Man Vong, Wei Huang, 2019 .

Floating Car Data-Based Real-Time Road Traffic Prediction System and Its Application in Macau Grand Prix Event

Ngoc-vai Chiang, Lap Mou Tam, Kin-hou Lai, 2019, Intelligent Transport Systems for Everyone’s Mobility.

DIESEL ENGINE MODELLING USING EXTREME LEARNING MACHINE UNDER SCARCE AND EXPONENTIAL DATA SETS

Pak Kin Wong, Ka In Wong, Chun Shun Cheung, 2013 .

Optimal calibration of variable biofuel blend dual-injection engines using sparse Bayesian extreme learning machine and metaheuristic optimization

Pak Kin Wong, Ka In Wong, P. Wong, 2017 .

Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction

Chi-Man Vong, Pak-Kin Wong, Ka In Wong, 2015, Neurocomputing.

Initial-training-free online sequential extreme learning machine based adaptive engine air–fuel ratio control

Zhixin Yang, Pak Kin Wong, Ka In Wong, 2018, International Journal of Machine Learning and Cybernetics.

Adaptive Control Using Fully Online Sequential-Extreme Learning Machine and a Case Study on Engine Air-Fuel Ratio Regulation

Pak Kin Wong, Ka In Wong, Xiang Hui Gao, 2014 .