Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...
Abstract: In order to solve the problem of track slab crack detection under few samples’ conditions, this paper proposes a track slab crack detection algorithm with few samples based on deep learning.
The American Association of Clinical Endocrinology (AACE) has released the 2026 update to its consensus statement algorithm for the management of adults with type 2 diabetes (T2D). The statement was ...
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