Table 5.

Experimental parameters and optimization parameter range of proposed 1-Dimension Convolutional Neural Network (1D CNN) model.

Parameter	Rage of Test Parameters	Range of Optimal Parameters
Convolution layer depth ($CLD$)	{1, 2, 3}	$CLD\left(D_{opt}\right)$ = {3}
Kernel size ($KS$)	{5, 9, 13, 17, 21, 25, 29, 33, 37, 41}	$K{S}_{opt}$ = {21, 25, 29}
Kernel Count ($KC$)	{32, 64, 128, 256, 512}	$K{C}_{opt}$ = {64, 128, 256}
Dense Layer Neuron Count ($DLNC$)	{256, 512, 1024, 2048}	$DLN{C}_{opt}$ = {1024, 2048}