Architecture of the CNN adopted for this study is shown as a block diagram on the left and its detailed structure with layers is shown on the right panel. The model can be divided into four distinct sections: input layer, convolution layers, fully connected layers, and output layer, with a total of 448 134 trainable parameters. The numbers, for example, (6861, 1) and (6852, 8), represent the shape of input and output of first Conv1D layer.