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    Meta Learner-Based Transfer Learning: Bridging Simulation and Actual Router Metrics by Kyota Hattori, Tomohiro Korikawa, Chikako Takasaki

    Published 2025-01-01
    “…The proposed method addresses the differences in these datasets by utilizing Neural Processes as a meta-learner combined with Partial Least Squares analysis to capture and bridge representations between simulation and real-world datasets for packet multiplexing tasks for transfer learning. …”
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    Reliable unmanned aerial vehicle-based thermal infrared target detection method for monitoring Procapra przewalskii in Qinghai by Guoqing Zhang, Wei Luo, Yongxiang Zhao, Quanqin Shao, Lin Li, Keyu Mei, Guohong Li

    Published 2025-12-01
    “…This technique employs YOLOv8s as the base model and proposes a multi-frame processing (MFP) method (YOLO-MFP). This method uses the current frame as the primary input and combines optical flow–processed images and background-suppressed images as auxiliary inputs. …”
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