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A Method for Diagnosing the State of Insulation Paper in Traction Transformer Based on FDS Test and CS-DQ Algorithm Journal article
Zhou, Lijun, Wang, Dongyang, Cui, Yi, Zhang, Liqing, Wang, Lujia, Guo, Lei. A Method for Diagnosing the State of Insulation Paper in Traction Transformer Based on FDS Test and CS-DQ Algorithm[J]. IEEE Transactions on Transportation Electrification, 2021, 7(1), 91-103.
Authors:  Zhou, Lijun;  Wang, Dongyang;  Cui, Yi;  Zhang, Liqing;  Wang, Lujia; et al.
Favorite | TC[WOS]:14 TC[Scopus]:17  IF:7.2/7.9 | Submit date：2021/12/07
Cuckoo Search (Cs) Algorithm Optimized By The Differential Evolution (De) Algorithm And The Quadratic Interpolation (Qi) Method (Cs-dq Algorithm)  Frequency-domain Dielectric Spectrum (Fds) Test  High-speed Railway  Insulation Diagnosis  Multiclass Least-squares Support Vector Machine (Ls-svm) Model  Traction Transformer  
Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation Journal article
Wong, Pak Kin, Wong H.C., Vong C.M., Wong K.I.. Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation[J]. International Journal of Engine Research, 2016, 17(8), 866-885.
Authors:  Wong, Pak Kin;  Wong H.C.;  Vong C.M.;  Wong K.I.
Favorite | TC[WOS]:6 TC[Scopus]:7 | Submit date：2019/02/13
Engine Lambda  Fuzzy Optimizer  Model Predictive Control  Online Least-squares Support Vector Machine  Wavelet Transformation  
Online Wavelet Least-Squares Support Vector Machine Fuzzy Predictive Control for Engine Lambda Regulation Journal article
Wong, P. K., Wong, H.C., Vong, C. M., Wong, K.I.. Online Wavelet Least-Squares Support Vector Machine Fuzzy Predictive Control for Engine Lambda Regulation[J]. International Journal of Engine Research (SCI-E), 2016, 866-885.
Authors:  Wong, P. K.;  Wong, H.C.;  Vong, C. M.;  Wong, K.I.
Favorite |  | Submit date：2022/08/09
Online least-squares support vector machine  model predictive control  wavelet transformation  engine lambda  fuzzy optimizer  
Modeling and Predicting Surface Roughness in Hard Turning Using a Bayesian Inference-Based HMM-SVM Model Journal article
He K., Xu Q., Jia M.. Modeling and Predicting Surface Roughness in Hard Turning Using a Bayesian Inference-Based HMM-SVM Model[J]. IEEE Transactions on Automation Science and Engineering, 2015, 12(3), 1092-1103.
Authors:  He K.;  Xu Q.;  Jia M.
Favorite | TC[WOS]:27 TC[Scopus]:32  IF:5.9/6.0 | Submit date：2018/10/30
Hard Turning  Hidden Markov Model (Hmm)  Least Squares Support Vector Machine (Lssvm)  Surface Roughness Prediction  
Diesel engine modelling using extreme learning machine under scarce and exponential data sets Journal article
Wong, P.K., Vong, C. M., Cheung, C. S., Wong, K. I.. Diesel engine modelling using extreme learning machine under scarce and exponential data sets[J]. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems (SCI-E), 2013, 87-98.
Authors:  ; et al.
Favorite |   IF:1.0/1.1 | Submit date：2022/08/09
Diesel engine modelling  engine performance prediction  extreme learning machine  least squares support vector machine  relevance vector machine  data processing  
Diesel engine modelling using extreme learning machine under scarce and exponential data sets Journal article
Wong, Pak Kin, Vong C.M., Cheung C.S., Wong K.I.. Diesel engine modelling using extreme learning machine under scarce and exponential data sets[J]. International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 2013, 21(SUPPL.2), 87-98.
Authors:  Wong, Pak Kin;  Vong C.M.;  Cheung C.S.;  Wong K.I.
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:1.0/1.1 | Submit date：2019/02/13
Diesel Engine Modeling  Engine Performance Prediction  Extreme Learning Machine  Least Squares Support Vector Machine  Relevance Vector Machine  Data Processing  
Modelling of Diesel Engine Performance using Advanced Machine Learning Methods under Scarce and Exponential Data Set Journal article
Wong, K.I., Wong, P. K., Cheung, C. S., Vong, C. M.. Modelling of Diesel Engine Performance using Advanced Machine Learning Methods under Scarce and Exponential Data Set[J]. Applied Soft Computing (SCI-E), 2013, 4428-4441.
Authors:  Wong, K.I.;  Wong, P. K.;  Cheung, C. S.;  Vong, C. M.
Favorite |   IF:7.2/7.0 | Submit date：2022/08/09
diesel engine modelling  engine performance  artificial neural network  relevance vector machine  least squares support vector machine  kernel based extreme learning machine  hybrid inference  data exponentiality  data scarcity  
Compensation Map Calibration of Engine Management Systems using Least-Squares Support Vector Committee Machines and Evolutionary Optimization Journal article
Wong, Pak Kin. Compensation Map Calibration of Engine Management Systems using Least-Squares Support Vector Committee Machines and Evolutionary Optimization[J]. Vehicle Engineering, 2013, 1(1).
Authors:  Wong, Pak Kin
Favorite |  | Submit date：2019/04/10
Ems Calibration  Compensation Control  Least-squares Support Vector Machines  Evolutionary Optimization  Committee Machine  
Model Predictive Fuzzy Control of Air-ratio for Automotive Engines Journal article
Hang-cheong Wong, Wong, Pak Kin, Chi-man Vong, Zhengchao Xie, Shaojia Huang. Model Predictive Fuzzy Control of Air-ratio for Automotive Engines[J]. International Journal of Mechanical and Mechatronics Engineering, 2013, 7(3).
Authors:  Hang-cheong Wong;  Wong, Pak Kin;  Chi-man Vong;  Zhengchao Xie;  Shaojia Huang
Favorite | 
Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine Journal article
Wong, P. K., Xu, Q. S., Vong, C. M., Wong, H. C.. Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine[J]. IEEE Transactions on Industrial Electronics (SCI-E), 2012, 1988-2001.
Authors:  Wong, P. K.;  Xu, Q. S.;  Vong, C. M.;  Wong, H. C.
Favorite | TC[WOS]:147 TC[Scopus]:173  IF:7.5/8.0 | Submit date：2022/08/09
Hysteresis  Least Squares Support Vector Machines (Svms) (ls-Svms)  Motion Control  Piezoelectric Actuator  Relevance Vector Machine (Rvm)