The intent is to bridge the historically separate BEV-segmentation and 3D-occupancy literatures within a single taxonomy and identify open problems in label efficiency, robustness, temporal forecasting, and deployment.
Abdelrahman S. Heikal, Mostafa Farouk Senussi, Ahmed Salem et al.· Mathematics· 0 citations
This study proposes ConvNeXtLSD, a DL-based multi-class classification framework for automated cattle LSD diagnosis that achieves superior classification performance and maintains practical computational efficiency, demonstrating an effective balance between predictive performance and computational cost for real-world...
Mostafa Farouk Senussi, Abdelrahman S. Heikal, Asmaa Gamal Abdelbasset et al.· Scientific Reports· 0 citations
Under fully reproducible conditions on UCF-Crime and XD-Violence, SETAS-VAD achieves state-of-the-art temporal localization, with per-threshold gains increasing at stricter IoU values, indicating improved boundary precision rather than coarse detection sensitivity.
