English | 繁體

Search in the results

UM

Browse/Search Results:  1-9 of 9 Help

Selected(0)Clear Items/Page:    Sort:
Online Resource Optimization for Elastic Stream Processing with Regret Guarantee Conference paper
Yang Liu, Xu HL(徐歡樂), Wing Cheong Lau. Online Resource Optimization for Elastic Stream Processing with Regret Guarantee[C]:Association for Computing Machinery, 2022, 1-11.
Authors:  Yang Liu;  Xu HL(徐歡樂);  Wing Cheong Lau
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:3 | Submit date：2022/08/26
Cloud Computing  Elastic Stream Processing  Gaussian-process Ucb  Kubernetes  Online Optimization  Resource Allocation  
Optimal Job Scheduling with Resource Packing for Heterogeneous Servers Journal article
Xu, Huanle, Liu, Yang, Lau, Wing Cheong. Optimal Job Scheduling with Resource Packing for Heterogeneous Servers[J]. IEEE/ACM Transactions on Networking, 2021, 29(4), 1553-1566.
Authors:  Xu, Huanle;  Liu, Yang;  Lau, Wing Cheong
Favorite | TC[WOS]:8 TC[Scopus]:9  IF:3.0/3.6 | Submit date：2021/12/08
Dynamic Regret  Online Convex Optimization  Online Job Scheduling  Resource Packing  Switching Cost  
Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization Journal article
Huang, Haoen, Fu, Dongyang, Wang, Guancheng, Jin, Long, Liao, Shan, Wang, Huan. Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization[J]. Numerical Algorithms, 2020, 87(2), 575-599.
Authors:  Huang, Haoen;  Fu, Dongyang;  Wang, Guancheng;  Jin, Long;  Liao, Shan; et al.
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:1.7/1.9 | Submit date：2021/12/08
Modified Newton Integration (Mni) Algorithm  Noise-suppressing  Online Dynamic nOnlinear Optimization (Odno)  Steady-state Error  
An Internet of Things-enabled model-based approach to improving the energy efficiency of aluminum die casting processes Journal article
Liu, Weipeng, Peng, Tao, Tang, Renzhong, Umeda, Yasushi, Hu, Luoke. An Internet of Things-enabled model-based approach to improving the energy efficiency of aluminum die casting processes[J]. Energy, 2020, 202.
Authors:  Liu, Weipeng;  Peng, Tao;  Tang, Renzhong;  Umeda, Yasushi;  Hu, Luoke
Favorite | TC[WOS]:22 TC[Scopus]:22  IF:9.0/8.2 | Submit date：2021/12/06
Aluminum Die Casting  Energy Efficiency  Internet Of Things  Online Control  Parameter Optimization  
Closed-loop predictively optimizing control for modular multilevel converter with parallel connectivity Conference paper
Wang, Chuang, Peterchev, Angel V., Goetz, Stefan M.. Closed-loop predictively optimizing control for modular multilevel converter with parallel connectivity[C], 2019.
Authors:  Wang, Chuang;  Peterchev, Angel V.;  Goetz, Stefan M.
Favorite | TC[WOS]:0 TC[Scopus]:2 | Submit date：2022/05/17
Bilinear Model  Closed-loop Control  Modular Multilevel Converter  Online Optimization  Proportional Resonant Control  
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  
Intelligent Localization of a High-Speed Train Using LSSVM and the Online Sparse Optimization Approach Journal article
Cheng, Ruijun, Song, Yongduan, Chen, Dewang, Chen, Long. Intelligent Localization of a High-Speed Train Using LSSVM and the Online Sparse Optimization Approach[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18(8), 2071-2084.
Authors:  Cheng, Ruijun;  Song, Yongduan;  Chen, Dewang;  Chen, Long
Favorite | TC[WOS]:21 TC[Scopus]:27  IF:7.9/8.3 | Submit date：2018/10/30
High-speed Train  Location Error  Lssvm  Online Sparse Optimization  Iterative Pruning Error Minimization  L-0-norm Minimization