Table 1. The structure and parameters of our CNN model.

Layer (type)	Output Shape	#Parameters
conv1d_1 (Conv1D)	(None, 110, 16)	144
max_pooling1d_1 (MaxPooling1D)	(None, 55, 16)	0
conv1d_2 (Conv1D)	(None, 55, 32)	1568
max_pooling1d_2 (MaxPooling1D)	(None, 28, 32)	0
conv1d_3 (Conv1D)	(None, 28, 64)	8256
max_pooling1d_3 (MaxPooling1D)	(None, 14, 64)	0
conv1d_4 (Conv1D)	(None, 14, 128)	41088
max_pooling1d_4 (MaxPooling1D)	(None, 7, 128)	0
flatten_1 (Flatten)	(None, 896)	0
dropout_1 (Dropout)	(None, 896)	0
dense_1 (Dense)	(None, 128)	114816
dropout_2 (Dropout)	(None, 128)	0
dense_2 (Dense)	(None, 1)	129

Total params: 166,001