Ka In Wong

发表

Modelling and Prediction of Diesel Engine Performance using Relevance Vector Machine

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

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 .

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.

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

Zhixin Yang, Pak Kin Wong, Ka In Wong, 2018, Int. J. Mach. Learn. Cybern..

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 .

Application of RFID technology and the maximum spanning tree algorithm for solving vehicle emissions in cities on Internet of Things

Chi-Man Vong, Pak-Kin Wong, Ka In Wong, 2014, 2014 IEEE World Forum on Internet of Things (WF-IoT).

Adaptive Control of Vehicle Yaw Rate with Active Steering System and Extreme Learning Machine - A Pilot Study

Wei Huang, Pak Kin Wong, Ka In Wong, 2017 .

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 .

Development of a wireless inspection and notification system with minimum monitoring hardware for real-time vehicle engine health inspection

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

Modelling and prediction of particulate matter, NO x , and performance of a diesel vehicle engine under rare data using relevance vector machine

Pak Kin Wong, Ka In Wong, Chun Shun Cheung, 2012 .

Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation

Pak Kin Wong, Ka In Wong, Chi Man Vong, 2016 .

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

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

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

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

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.

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

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

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

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

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..

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..

Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine

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

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 .

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..

A Noise-Insensitive Semi-Active Air Suspension for Heavy-Duty Vehicles with an Integrated Fuzzy-Wheelbase Preview Control

Zhengchao Xie, Pak Kin Wong, Ka In Wong, 2013 .