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contributor authorYang, Qun
contributor authorYu, Xiao
contributor authorFu, Yuguang
date accessioned2026-08-20T21:26:08Z
date available2026-08-20T21:26:08Z
date copyright2025/08/08
date issued2025
identifier otherJCCEE5.CPENG-6842.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314447
description abstractAbstractData collected from low-cost sensors in structural health monitoring (SHM) often contain anomalies, leading to misinterpretations of subsequent structural condition assessment. Therefore, the classification model is required to identify various ...
publisherAmerican Society of Civil Engineers
titleAttention-Based Encoder for Online Data Anomaly Classification in Multivariate Time Series
typeJournal Article
journal volume39
journal issue6
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-6842
journal fristpage04025094-1
journal lastpage04025094-14
page14
treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
contenttypeFulltext


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