HIGHLIGHTS
- who: Wenbin Yao and collaborators from the School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China have published the article: A Lightweight Intelligent Network Intrusion Detection System Using push0 g 0 Gpopayellowpush0 g 0 Gpoptowidthheightdepth One-Class Autoencoder and Ensemble Learning for IoT, in the Journal: Sensors 2023, 23, 4141. of /2023/
- what: The results of the experiment showed that, the larger the model size is, the better and more stable the performance of the stacked self-encoder model will be, and the selection of the latent size can improve performance as . . .
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