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Optimal feature selection for malware detection in cyber physical systems using graph convolutional network

Research article (Computers & Electrical Engineering, 2023) · cited 16× · AI/ML
academia openalex:W4362631049
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Optimal feature selection for malware detection in cyber physical systems using graph convolutional network

Summary

Optimal feature selection for malware detection in cyber physical systems using graph convolutional network is a scholarly article[1].

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  • Optimal feature selection for malware detection in cyber physical systems using graph convolutional network's instance of is recorded as scholarly article[2].

Related Entities

Balamurugan Balusamy

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Optimal feature selection for malware detection in cyber physical systems using graph convolutional network. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimal-feature-selection-for-malware-detection-in-cyber-physical-systems-using-graph-convolutional-network
MLA “Optimal feature selection for malware detection in cyber physical systems using graph convolutional network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimal-feature-selection-for-malware-detection-in-cyber-physical-systems-using-graph-convolutional-network.
BibTeX @misc{4ortxyz_optimal-feature-selection-for-malware-detection-in-cyber-physical-systems-using-graph-convolutional-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimal feature selection for malware detection in cyber physical systems using graph convolutional network}}, year = {2026}, url = {https://4ort.xyz/entity/optimal-feature-selection-for-malware-detection-in-cyber-physical-systems-using-graph-convolutional-network}, note = {Accessed: 2026-05-24}}
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