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THE STATE KEY LA... [5]
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YUEN KA VENG [4]
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Journal article [4]
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2023 [2]
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英語English [5]
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Computer-Aided C... [1]
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Review on smartphone sensing technology for structural health monitoring
Review article
2023
Authors:
Sarmadi, Hassan
;
Entezami, Alireza
;
Yuen, Ka Veng
;
Behkamal, Bahareh
Favorite
|
TC[WOS]:
26
TC[Scopus]:
35
IF:
5.2
/
4.8
|
Submit date:2024/01/02
Civil Structures
Computer Vision
Crowdsourcing
Internet-of-things
Sensing Technology
Smartphone
Smartphone Apps
Structural Health Monitoring
Vibration
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
Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling
Journal article
Sarmadi, Hassan, Yuen, Ka Veng. Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 173, 109049.
Authors:
Sarmadi, Hassan
;
Yuen, Ka Veng
Favorite
|
TC[WOS]:
51
TC[Scopus]:
58
IF:
7.9
/
8.0
|
Submit date:2022/05/13
Generalized Extreme Value
Machine Learning
Mixture Quantile
Probabilistic Anomaly Detection
Structural Health Monitoring
Threshold Estimation
Early damage detection by an innovative unsupervised learning method based on kernel null space and peak-over-threshold
Journal article
Hassan Sarmadi, Ka Veng Yuen. Early damage detection by an innovative unsupervised learning method based on kernel null space and peak-over-threshold[J]. Computer-Aided Civil and Infrastructure Engineering, 2021, 36(9), 1150-1167.
Authors:
Hassan Sarmadi
;
Ka Veng Yuen
Favorite
|
TC[WOS]:
72
TC[Scopus]:
78
IF:
8.5
/
10.8
|
Submit date:2021/12/08
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