Blood sampling in laboratory animals encompasses a range of methods designed to balance data quality with animal welfare. Techniques include peripheral puncture of superficial veins (such as the ...
Deep learning-based animal activity recognition (AAR) achieves promising performance but remains constrained by its reliance on large labeled datasets. While pre-training offers a viable path toward ...
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