Table 8. Comparison of the proposed methodology.

Method	Feature Type	Classifier	Type	ACC (in %)
Bipectrum [30]	HoS	SVM	NC	93.26
			PD	83.71
		KNN	NC	91.51
			PD	81.31
BFC [28]	Bispectrum	SVM	NC	66.8
			PD	52.97
			NC	71.79
			PD	51.66
Hybrid [34]	Bispectrum	SVM	NC	74.31
			PD	72.96
	Power Spectrum	SVM	NC	68.19
			PD	65.62
	Wavelet Packet	SVM	NC	63.96
			PD	55.97
	Non-linear	SVM	NC	73.17
			PD	67.61
RQA [5]	HoS	ELM	NC	89.17
			PD	84.5
TQWT	Pw, Entropy, En and Vr	PNN	NC	96.16
			PD	93.88