Table A4.

The summary of hyperparameters for the 1D-ResNet-SE network used in this work.

Stage	Hyperparameters		Values
Architecture	Convolutional Block
	Convolution	Kernel Size	5
		Stride	1
		Filters	64
	Batch Normalization		-
	Activation		ELU
	Max Pooling		2
	SE-ResNet Block × 8
	Convolution	Kernel Size	5
		Stride	1
		Filters	32
	Batch Normalization		-
	Activation		ELU
	Convolution	Kernel Size	5
		Stride	1
		Filters	64
	Batch Normalization		-
	SE Module		-
	Global Average Pooling		-
	Flatten		-
	Dense		128
Training	Loss Function		Cross-entropy
	Optimizer		Adam
	Batch Size		64
	Number of Epochs		200