Funder
Natural Science Foundation of Beijing Municipality
Fundamental Research Funds for the Central Universities
National Natural Science Foundation of China
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference57 articles.
1. Developing new deep-learning model to enhance network intrusion classification;Azzaoui;Evolving Systems,2022
2. Accurate water quality prediction with attention-based bidirectional LSTM and encoder–decoder;Bi;Expert Systems with Applications,2024
3. Bi, J., Guan, Z., & Yuan, H. (2022). Hybrid Network Intrusion Detection with Stacked Sparse Contractive Autoencoders and Attention-Based Bidirectional LSTM. In Proc. international conference on systems, man, and cybernetics (pp. 1–6).
4. Chen, T., & Guestrin, C. (2016). Xgboost: A Scalable Tree Boosting System. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 785–794).
5. KNN-BLOCK DBSCAN: Fast clustering for large-scale data;Chen;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2021