Convolutional neural network architectures used in this work. “CONV”: a 1D convolutional layer, with the two following numbers referring to the kernel size and the number of filters; “MAXPOOL” refers to the process of 1D max pooling the tensor, and the numbers refer to kernel size and stride; “FC” is a fully connected or linear ANN layer where the number shows the number of neurons.