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Lightweight CNN-based malware image classification for resource-constrained applications

Research article (Innovations in Systems and Software Engineering, 2022) · cited 16× · AI/ML
academia openalex:W4285083769
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Lightweight CNN-based malware image classification for resource-constrained applications

Summary

Lightweight CNN-based malware image classification for resource-constrained applications is a scholarly article[1].

Key Facts

  • Lightweight CNN-based malware image classification for resource-constrained applications's instance of is recorded as scholarly article[2].

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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). Lightweight CNN-based malware image classification for resource-constrained applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/lightweight-cnn-based-malware-image-classification-for-resource-constrained-applications
MLA “Lightweight CNN-based malware image classification for resource-constrained applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lightweight-cnn-based-malware-image-classification-for-resource-constrained-applications.
BibTeX @misc{4ortxyz_lightweight-cnn-based-malware-image-classification-for-resource-constrained-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Lightweight CNN-based malware image classification for resource-constrained applications}}, year = {2026}, url = {https://4ort.xyz/entity/lightweight-cnn-based-malware-image-classification-for-resource-constrained-applications}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Lightweight CNN-based malware image classification for resource-constrained applications — https://4ort.xyz/entity/lightweight-cnn-based-malware-image-classification-for-resource-constrained-applications (retrieved 2026-05-24)

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