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This section presents a detailed description of the dataset generated in this study, along with an in-depth discussion about the selection and architecture design of pre-trained state-of- the-art feature-extraction models, as well as the application of various optimization algorithms. It specifically focuses on the generation of a new dataset, pre-processing steps, implementation of CNN-based models, and the selection of the appropriate optimization algorithms.
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