Abstract: This study employs a convolutional neural network (CNN) Efficientnet B0 model to classify soybean seeds into five groups: broken, immature, intact, skin-damaged, and spotted. To enhance ...
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 ...
Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...
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