Machine learning for anomaly detection on intelligent transportation time series data

In intelligent transportation systems, machine learning approaches are presented to deal with time series anomaly detection. But there are always far more normal samples, making it suffer from unbalanced samples for traffic anomaly detection. In this dissertation, based on the state-of-the-art model...

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書目詳細資料
主要作者: Lin, Yuxuan
其他作者: Lin Zhiping
格式: Thesis-Master by Coursework
語言:English
出版: Nanyang Technological University 2022
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在線閱讀:https://hdl.handle.net/10356/163318
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機構: Nanyang Technological University
語言: English