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Efficient Point-by-point Engine Calibration using Machine Learning and Sequential Design of Experiment Strategies Journal article
Wong, P. K., Gao, X.H., Wong, K.I., Vong, C. M.. Efficient Point-by-point Engine Calibration using Machine Learning and Sequential Design of Experiment Strategies[J]. Journal of the Franklin Institute - Engineering and Applied Mathematics (SCI-E), 2018, 1517-1538.
Authors:  Wong, P. K.;  Gao, X.H.;  Wong, K.I.;  Vong, C. M.
Favorite |   IF:3.7/3.5 | Submit date：2022/08/09
Engine calibration  engine modeling  data processing  optimization  sequential design of experiment  online extreme learning machine  
Online extreme learning machine based modeling and optimization for point-by-point engine calibration Journal article
Wong, Pak Kin, Gao, Xiang Hui, Wong, Ka In, Vong, Chi Man. Online extreme learning machine based modeling and optimization for point-by-point engine calibration[J]. NEUROCOMPUTING, 2018, 277, 187-197.
Authors:  Wong, Pak Kin;  Gao, Xiang Hui;  Wong, Ka In;  Vong, Chi Man
Favorite | TC[WOS]:24 TC[Scopus]:28  IF:5.5/5.5 | Submit date：2018/10/30
Engine Calibration  Engine Modeling  Engine Optimization  Initial-training-free Online Extreme Learning Machine  
Online Extreme Learning Machine Based Modeling and Optimization for Point-by-point Engine Calibration Journal article
Wong, P. K., Gao, X.H., Wong, K.I., Vong, C. M.. Online Extreme Learning Machine Based Modeling and Optimization for Point-by-point Engine Calibration[J]. Neurocomputing (SCI-E), 2018, 187-197.
Authors:  Wong, P. K.;  Gao, X.H.;  Wong, K.I.;  Vong, C. M.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Engine calibration  engine modeling  engine optimization  initial-training-free online extreme learning machine  
Optimal calibration of variable biofuel blend dual-injection engines using sparse Bayesian extreme learning machine and metaheuristic optimization Journal article
Wong, Ka In, Wong, Pak Kin. Optimal calibration of variable biofuel blend dual-injection engines using sparse Bayesian extreme learning machine and metaheuristic optimization[J]. ENERGY CONVERSION AND MANAGEMENT, 2017, 148, 1170-1178.
Authors:  Wong, Ka In;  Wong, Pak Kin
Favorite | TC[WOS]:19 TC[Scopus]:22  IF:9.9/9.8 | Submit date：2018/10/30
Biofuels  Dual-injection  Engine Calibration  Sparse Bayesian Extreme Learning Machine  Metaheuristic Optimization  Flower Pollination Algorithm  
Modelling of petrol engine power using incremental least-square support vector machines for ECU calibration Conference paper
Wong, Pak Kin, Vong C.-M., Ip W.-F.. Modelling of petrol engine power using incremental least-square support vector machines for ECU calibration[C], 2010, 12-15.
Authors:  Wong, Pak Kin;  Vong C.-M.;  Ip W.-F.
Favorite | TC[Scopus]:4 | Submit date：2019/02/13
Electronic Control Unit Calibration  Engine Power  Incremental Ls-svm  
Case-based reasoning for automotive engine performance tune-up Conference paper
Vong C.M., Huang H., Wong, Pak Kin. Case-based reasoning for automotive engine performance tune-up[C], 2010, 185-190.
Authors:  Vong C.M.;  Huang H.;  Wong, Pak Kin
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2019/02/13
Automotive Engine Ecu Calibration  Case-based Adaptation  Case-based Reasoning