Deep transfer learning has emerged as a powerful paradigm in image classification, enabling models to leverage knowledge acquired from large, labelled datasets to perform effectively on new tasks with ...
Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice ...
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