Abstract: While existing Few-Shot Learning (FSL) techniques demonstrate strong performance on uniform datasets, they encounter domain shift challenges when presented with domain-agnostic queries in ...
Abstract: Accurate tree species mapping via satellite imagery is essential for forest resource management at both global and regional scales. Forest phenological processes, captured in Sentinel-2 ...
Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.
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