JOURNAL ARTICLE
Spatio-temporal variational reconstruction deep support vector data description for anomaly detection in bridge SHM data
Year: 2025 Journal: Mechanical Systems and Signal Processing Vol: 244 Pages: 113767-113767 Publisher: Elsevier BV
Keywords:
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
47
Refs
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Related Documents
JOURNAL ARTICLE
Bridge health anomaly detection using deep support vector data description
Jianxi YangFei YangLikai ZhangRen LiShixin JiangGuiping WangLe ZhangZeng Zeng
Journal: Neurocomputing Year: 2021 Vol: 444 Pages: 170-178
JOURNAL ARTICLE
Enhanced anomaly detection of industrial control systems via graph-driven spatio-temporal adversarial deep support vector data description
Journal: Expert Systems with Applications Year: 2025 Vol: 270 Pages: 126573-126573
JOURNAL ARTICLE
Network Anomaly Detection Based on Deep Support Vector Data Description
Xiaohong ChenChunjie CaoJianbin Mai
Year: 2020 Pages: 251-255
JOURNAL ARTICLE
Detection Anomaly in Video Based on Deep Support Vector Data Description
Bokun WangCaiqian YangYaojing Chen
Journal: Computational Intelligence and Neuroscience Year: 2022 Vol: 2022 Pages: 1-6