Abstract: Motor bearing faults can lead to significant industrial losses and accidents, making their accurate diagnosis essential for safe motor operation. In recent years, transformer-based models ...
Conv2D_6 = Conv2D(activation= 'relu' ,nb_col= 3,nb_filter= 32,nb_row= 3,border_mode= 'same' )(Input_1) MaxPooling2D_4 = MaxPooling2D(strides= (2,2),border_mode= 'same ...
Generative Adversarial Network is a generative model that contains a discriminator and a generator. The discriminator is a binary classifier that is trained to classify the real image as real and the ...
Abstract: Quality inspection and defect detection remain critical challenges across diverse industrial applications. Driven by advancements in Deep Learning, Convolutional Neural Networks (CNNs) have ...
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