Performance evaluation of the proposed Dual CNN model across five training iterations using GTZAN and FMA datasets.
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The study compares precision and recall scores across five training iterations to demonstrate the model’s learning improvements over multiple runs, highlighting variations in performance across different datasets.
创建时间：
2025-10-14
