Fig. 3. The architecture of the proposed IncResUnet. (The blue block and light green block represent the 1D convolution module and the Inception-residual block, respectively. In the Inception-residual block, the input features undergo convolution operatio (IMAGE)

Beijing Institute of Technology Press Co., Ltd

Fig. 3. The architecture of the proposed IncResUnet. (The blue block and light green block represent the 1D convolution module and the Inception-residual block, respectively. In the Inception-residual block, the input features undergo convolution operatio

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Fig. 3. The architecture of the proposed IncResUnet. (The blue block and light green block represent the 1D convolution module and the Inception-residual block, respectively. In the Inception-residual block, the input features undergo convolution operations of 4 different sizes, followed by batch normalization and LeakyReLU activation function processing. Finally, the processed features are concatenated with the original input.)

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