Waveforms Eavesdropping Prevention Framework: The Case of Classification of EPG Waveforms of Aphid Utilizing Wavelet Kernel Extreme Learning Machine
Author:
Affiliation:
1. College of Sciences, Henan Agricultural University, Zhengzhou, China
2. School of Cybersecurity, Information Engineering University, Zhengzhou, China
3. College of Plant Protection, Henan Agricultural University, Zhengzhou, China
Funder
Science and Technology Department of Henan Province
Key Scientific Research Project of Colleges and Universities in Henan Province
Science and Technology Innovation Fund of Henan Agricultural University
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2214766
Reference24 articles.
1. A2EPG: A new software for the analysis of electrical penetration graphs to study plant probing behaviour of hemipteran insects
2. Using micro-computed tomography to reveal the anatomy of adult Diaphorina citri Kuwayama (Insecta: Hemiptera, Liviidae) and how it pierces and feeds within a citrus leaf
3. Review of the EPG Waveforms of Sharpshooters and Spittlebugs Including Their Biological Meanings in Relation to Transmission of Xylella fastidiosa (Xanthomonadales: Xanthomonadaceae)
4. EPG combined with micro-CT and video recording reveals new insights on the feeding behavior of Philaenus spumarius
5. A new technique for ECG signal classification genetic algorithm Wavelet Kernel extreme learning machine
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1. Machine learning for characterizing plant-insect interactions through electrical penetration graphic signal;2024-06-11
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