Abstract: Methods based on deep learning have significantly advanced network intrusion detection systems (NIDS). However, they face critical challenges such as insufficient labeled data and ...
Abstract: Traffic flow prediction is fundamental to intelligent transportation systems, requiring accurate modeling of complex spatio-temporal dependencies. Existing methods typically assume ...