The widespread use of location-based services (LBSs) has led to the continuous collection of user location and trajectory data, increasing the risk of privacy leakage and creating a persistent tradeoff between privacy protection and data utility. To address this problem in discrete location query scenarios, this paper...
Qi-Hao Yu, Fang Liu, Xiang-Hui Meng et al.· Italian National Conference...· 0 citations
MF-YOLO improves small-object detection at the cost of substantially greater computation, and introduces a stride-4 P2 prediction scale, applies Global-to-Local Spatial Aggregation independently to C2–C5 before neck fusion, and connects P2–P5 through a 64-channel Bidirectional Feature Pyramid Network (BiFPN).
Yu-Fei Wang, Ji-Ming Yang, Fang Liu et al.· Italian National Conference...· 0 citations
Compared with twin delayed deep deterministic policy gradient (TD3), SAC, and representative reinforcement learning methods such as attention-mechanism SAC based on attention mechanism enhancement, the proposed DPCA-ARF-PER-SAC method shows more balanced performance in task completion, navigation safety, and path effic...
Yu-Fei Wang, Tong Zhang, Fan Zhou et al.· Applied Sciences· 1 citation
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