Open access
Sep 2026
A hybrid multi-layered intrusion detection framework combining traditional machine learning, Deep Neural Architectures (DenseNN), and ensemble methods to evaluate zero-day resilience within cloud-level backend connectivity interfacing EV and V2X management ecosystems is proposed.
H. Sakr, Ahmed A. El-Douh, M. Lapina et al.
· Computers · 0 citations
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Open access
Aug 2026
Background/Objectives: Estrogen receptor immunohistochemistry (ER-IHC) exhibits heterogeneous staining and substantial class imbalance, complicating segmentation of ordered expression categories. We evaluated whether class weighting, minority-focused crop sampling, adaptive minority curriculum (AMC), and Focal–Tversky...
Md Saiful Arefin, Mohammad Saiful Islam, M. Nabi et al.
· Diagnostics · 0 citations
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A secure edge intelligence framework for V2X/IoV intrusion and misbehavior detection, called TrustEdge-V2X, which is deployment-aware and offers a systematic approach to the assessment and selection of vehicular cybersecurity models based on the operational and deployment conditions.
H. Sakr, Mina Shenouda, N. Sarwar et al.
· Computers · 0 citations
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