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Research Article

Waveforms Eavesdropping Prevention Framework: The Case of Classification of EPG Waveforms of Aphid Utilizing Wavelet Kernel Extreme Learning Machine

, , &
Article: 2214766 | Received 25 Feb 2023, Accepted 20 Apr 2023, Published online: 19 May 2023

Figures & data

Figure 1. The EPG waveforms of aphid feeding.

Figure 1. The EPG waveforms of aphid feeding.

Figure 2. The network edifice of the ELM.

Figure 2. The network edifice of the ELM.

Table 1. Effective Bandwidth Transformation (N = 256, NB = 16).

Figure 3. Average energy contrast of wavelet coefficients in layers 2~5.

Figure 3. Average energy contrast of wavelet coefficients in layers 2~5.

Table 2. The attributes of the FD of the waveforms in EPG.

Table 3. The HHT attributes of the EPG waveforms.

Table 4. Comparing detection rates of decision trees with the distinct attribute vector.

Figure 4. Features distribution of EPG waveforms.

Figure 4. Features distribution of EPG waveforms.

Figure 5. The impact of the neuron numbers in the hidden layer on the achievement of the ELM Classification.

Figure 5. The impact of the neuron numbers in the hidden layer on the achievement of the ELM Classification.

Table 5. Comparing the recognition outcomes of the diverse classifiers.

Data availability statement

The data used in the research are available from the author upon request.