Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...
Background A regional trial indicated that implementing at-risk asthma registers in primary care could reduce hospital ...
Prediction-based dynamic multi-objective optimization algorithms (DMOEAs) are widely used to explore the relationships of Pareto-optimal solutions (POSs) under continuous time steps, aiming to tackle ...
Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...
This important study introduces an advance in multi-animal tracking by reframing identity assignment as a self-supervised contrastive representation learning problem. It eliminates the need for ...
ABSTRACT: As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable ...
Severe sarcopenia and symptom burden prior to chemotherapy among older adults (70+) with advanced cancer: A URCC NCORP nationwide study. Comparison of base vs. retrained model performance. a Mean (95% ...
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