Machine learning for anomaly detection on intelligent transportation time series data

• المؤلف الرئيسي: Lin, Yuxuan
• مؤلفون آخرون: Lin Zhiping
• التنسيق: Thesis-Master by Coursework
• اللغة: English
• منشور في: Nanyang Technological University 2022
• الموضوعات: Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/163318

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...