Cross-dataset network intrusion detection faces challenges arising from distribution shifts, heterogeneous feature fields, changing attack distributions, and unreliable explanations across data sources. To address these problems, this paper proposes a fuzzy-enhanced cost-aware Low-Rank Adaptation (LoRA) inference model...
MD-YOLO is proposed, an improved object detection model tailored for UAV scenarios, built upon the YOLO26 baseline, that incorporates three lightweight modules—IMO, DS-SPPF, and HPConv to optimize backbone feature extraction, multi-scale contextual aggregation, and Neck downsampling, thereby enhancing the model’s detec...