Table 2.

Details of AICNN-1D.

Layer	Kernel Size	Kernel Number	Stride	Activation Function	Output Size	Padding
Conv_1	15	16	7	ReLU	286 × 16	Yes
Max-pooling 1	2	16	2	None	143 × 16	Yes
Conv_2	10	32	5	ReLU	29 × 32	Yes
Max-pooling 2	2	32	2	None	15 × 32	Yes
Conv_3	5	H1	2	ReLU	8 × H	Yes
Global average pooling	8	H	1	None	H	No

¹ H represents the number of classification labels.