Table 8.

To evaluate the performance of the proposed 1-D CNN model, each parameter value is selected from the optimal parameter range.

Parameter	Used Values
Convolution layer depth ($CLD$)	3
Kernel size ($KS$)	Conv. Layer 1:29
	Conv. Layer 2:25
	Conv. Layer 3:21
Kernel count ($KC$)	Conv. Layer 1:64
	Conv. Layer 2:64
	Conv. Layer 3:128
Dense layer neuron count ($DLNC$)	Dense Layer 1:2048
	Dense Layer 2:1024