Anomaly Detection in Dam Behaviour with Machine Learning Classification Models
Anomaly Detection in Dam Behaviour with Machine Learning Classification Models
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Dam safety assessment is typically made by comparison between the outcome of some predictive model and measured monitoring data. This is done separately for each response variable, and the results are later interpreted before decision making. In this work, three approaches based on machine learning classifiers are evaluated for the joint analysis o...
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Full title
Anomaly Detection in Dam Behaviour with Machine Learning Classification Models
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TN_cdi_proquest_journals_2571551208
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2571551208
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ISSN
2073-4441
E-ISSN
2073-4441
DOI
10.3390/w13172387
