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Hybrid bagging and boosting with SHAP based feature selection for enhanced predictive modeling in intrusion detection systems
U Ahmed, Z Jiangbin, A Almogren, M Sadiq… - Scientific Reports, 2024 - nature.com
The novelty and growing sophistication of cyber threats mean that high accuracy and
interpretable machine learning models are needed more than ever before for Intrusion …
interpretable machine learning models are needed more than ever before for Intrusion …
Consensus hybrid ensemble machine learning for intrusion detection with explainable AI
U Ahmed, Z Jiangbin, S Khan, MT Sadiq - Journal of Network and …, 2025 - Elsevier
Intrusion detection systems (IDSs) are dynamic to cybersecurity because they protect
computer networks from malicious activity. IDS can benefit from machine learning; however …
computer networks from malicious activity. IDS can benefit from machine learning; however …
[HTML][HTML] Securing the 6G–IoT Environment: A Framework for Enhancing Transparency in Artificial Intelligence Decision-Making Through Explainable Artificial …
Wireless communication advancements have significantly improved connectivity and user
experience with each generation. The recent release of the framework M. 2160 for the …
experience with each generation. The recent release of the framework M. 2160 for the …
Research on Innovative Models of New Media Art and Personalized Education
Y Zhang - GBP Proceedings Series, 2025 - gbspress.com
This paper delves into the synergy between New Media Art and personalized education,
assessing how the fusion of digital art and educational practices can revolutionize learning …
assessing how the fusion of digital art and educational practices can revolutionize learning …