Ten-layer architecture of the CNN model used in this study. The first layer is solely the input data, followed by three convolutional blocks, each composed of a convolutional layer and a max pooling layer, both with a size of three units. This is followed by three fully connected layers with 512, 256, and 5 nodes, respectively, where the final layer serves as the output layer.