Confusion matrix assessing the performance of the proposed and contrasted approaches (presentation format CustomCNN/EfficientNetB0/MobileNet).

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posted on 2025-04-01, 17:42 authored by Stavros Ntalampiras, Gabriele Pesando Gamacchio

Confusion matrix assessing the performance of the proposed and contrasted approaches (presentation format CustomCNN/EfficientNetB0/MobileNet).

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underlying mechanisms governing interactive scheme able goat vocalizations leveraging extensive interpretation study convolutional neural network classifying goat vocalizations animal scientists regarding also sheds light acoustic features crucial paper advances classification bolstering classification accuracy average classification rate proposed solution encompasses considered goat vocalizations leveraging xai methodologies data augmentation techniques provide valuable information explainable classification classification process provide insights considered classes proposed cnn trained model timely access thoroughly demonstrating surrounding environment suitably augmented significantly impacts provides transparency model highlighting making process findings underline explainability analysis driven validation distinctive components designed architecture contrasting approaches architecture tailored analysis performed accurately describes

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