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A locally unsupervised hybrid learning method for removing environmental effects under different measurement periods Journal article
Mohammad Hassan Daneshvar, Hassan Sarmadi, Ka-Veng Yuen. A locally unsupervised hybrid learning method for removing environmental effects under different measurement periods[J]. MEASUREMENT, 2023, 208, 112465.
Authors:  Mohammad Hassan Daneshvar;  Hassan Sarmadi;  Ka-Veng Yuen
Favorite | TC[WOS]:15 TC[Scopus]:22  IF:5.2/4.8 | Submit date：2023/02/22
Dictionary Learning  Environmental Variability  Hybrid Learning  Local Learning  Structural Health Monitoring  Unsupervised Learning  
Ensemble learning-based structural health monitoring by Mahalanobis distance metrics Journal article
Hassan Sarmadi, Alireza Entezami, Behzad Saeedi Razavi, Ka-Veng Yuen. Ensemble learning-based structural health monitoring by Mahalanobis distance metrics[J]. Structural Control & Health Monitoring, 2020, 28(2), e2663.
Authors:  Hassan Sarmadi;  Alireza Entezami;  Behzad Saeedi Razavi;  Ka-Veng Yuen
Favorite | TC[WOS]:69 TC[Scopus]:79  IF:4.6/5.5 | Submit date：2021/03/09
Damage Detection  Ensemble Learning  Environmental Variability  Mahalanobis Distance  Structural Health Monitoring  Unsupervised Learning  
Modal Frequency-environmental Condition Relation Development Using Long-term Structural Health Monitoring Measurement: Uncertainty Quantification, Sparse Feature Selection and Multivariate Prediction Measurement Journal article
Mu, H. Q., Yuen, K. V.. Modal Frequency-environmental Condition Relation Development Using Long-term Structural Health Monitoring Measurement: Uncertainty Quantification, Sparse Feature Selection and Multivariate Prediction Measurement[J]. Measurement, 2018, 384-397.
Authors:  Mu, H. Q.;  Yuen, K. V.
Favorite | TC[WOS]:40 TC[Scopus]:43  IF:5.2/4.8 | Submit date：2022/07/27
Bayesian Inference  Environmental Conditions  Sparse Feature Selection  Modal Analysis  Structural Health Monitoring  
Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction Journal article
He-Qing Mu, Ka-Veng Yuen. Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction[J]. MEASUREMENT, 2018, 130, 384-397.
Authors:  He-Qing Mu;  Ka-Veng Yuen
Favorite | TC[WOS]:40 TC[Scopus]:43  IF:5.2/4.8 | Submit date：2018/10/30
Bayesian Inference  Environmental Conditions  Sparse Feature Selection  Modal Analysis  Structural Health Monitoring  
ZigBee wireless sensor network for surface drainage monitoring and flood prediction Conference paper
Ka-Heng Chan, Chi-Seng Cheang, Wai-Wa Choi. ZigBee wireless sensor network for surface drainage monitoring and flood prediction[C]. IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2015, 391-392.
Authors:  Ka-Heng Chan;  Chi-Seng Cheang;  Wai-Wa Choi
Favorite | TC[WOS]:4 TC[Scopus]:9 | Submit date：2019/02/13
Zigbee  Wsn  Environmental Monitoring