Fig. 3.

The architecture of the proposed CNN model. (a) The overview of the proposed CNN model. (b) The details of each residual block. (c) The details of each SE block. The Tanh activation function follows the last convolution layer, and the second dense layer in each SE block uses the Sigmoid activation function, while all the other convolutional layers and dense layers adopt ReLU activation functions. Different $t$ values correspond to various scaling rates.