An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification

Research article (Computer Networks, 2018) · cited 155× · AI/ML
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An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification

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An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-feature-generation-approach-based-on-deep-learning-and-feature-selection-techniques-for-traffic-classificat
MLA “An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-feature-generation-approach-based-on-deep-learning-and-feature-selection-techniques-for-traffic-classificat.
BibTeX @misc{4ortxyz_an-efficient-feature-generation-approach-based-on-deep-learning-and-feature-selection-techniques-for-traffic-classificat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-feature-generation-approach-based-on-deep-learning-and-feature-selection-techniques-for-traffic-classificat}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification — https://4ort.xyz/entity/an-efficient-feature-generation-approach-based-on-deep-learning-and-feature-selection-techniques-for-traffic-classificat (retrieved 2026-05-24)

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