Table 2.

Convolutional layer parameters in the window feature learning component.

Module	Number of Filters	Kernel Size	Stride	Output Shape
Input	-	-	-	(200, 1)
Conv_1	64	5	3	(66, 64)
Conv_2	64	5	3	(21, 64)
Conv_3	128	3	2	(10, 128)
Conv_4	128	3	1	(8, 128)
Conv_5	256	3	1	(6, 256)
GAP	-	-	-	(1, 256)