他一致 发表于 2025-3-30 11:04:47
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,Explainable AI for Intrusion Detection Systems: A Model Development and Experts’ Evaluation,n-making. Intrusion detection systems using machine learning have shown promise but often lack interpretability, undermining user trust and deployment. A hybrid Random Forest/XGBoost classifier achieved over 99% accuracy and F1 score, outperforming previous literature. Post-hoc LIME explanations pro无情 发表于 2025-3-30 16:39:58
Introducing an Auxiliary Information Module into ANN for Distributional Change Adaptation,variable environment with input data featuring a changing distribution, leading to a low reliable prediction. To address this problem, we propose to move away from the deterministic nature of the ANN and introduce a non-deterministic information module. We aim to enable the model to adapt to distribEsalate 发表于 2025-3-30 21:18:26
Nurul Amirah Mashudi,Norulhusna Ahmad,Mohd Azri Mohd Izhar,Hazilah Md Kaidi,Norliza Mohamed,Norliza frica’s mountain regions.Features hundreds of color photograResearch in recent years has increasingly shifted away from purely academic research, and into applied aspects of the discipline, including climate change research, conservation, and sustainable development. It has by now widely been recognoverrule 发表于 2025-3-31 00:52:35
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Sabrina Tarin Chowdhury,Narendra S. Kumpati,Snehasis Mukhopadhyayange research, conservation, and sustainable development. It has by now widely been recognized that “traditional” knowledge is always in flux and adapting to a quickly changing environment. Trends of globalization, especially the globalization of plant markets, have greatly influenced how plant reso牛的细微差别 发表于 2025-3-31 11:53:46
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Braulio Cesar Blanco Lambruschini,Mats Brorssonange research, conservation, and sustainable development. It has by now widely been recognized that “traditional” knowledge is always in flux and adapting to a quickly changing environment. Trends of globalization, especially the globalization of plant markets, have greatly influenced how plant reso