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A practical intrusion detection system based on denoising autoencoder and LightGBM classifier with improved detection performance
Research article (Journal of Ambient Intelligence and Humanized Computing, 2022) · cited 21× · AI/ML
A practical intrusion detection system based on denoising autoencoder and LightGBM classifier with improved detection performance
Summary
A practical intrusion detection system based on denoising autoencoder and LightGBM classifier with improved detection performance is a scholarly article[1].
Key Facts
A practical intrusion detection system based on denoising autoencoder and LightGBM classifier with improved detection performance's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A practical intrusion detection system based on denoising autoencoder and LightGBM classifier with improved detection performance. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-practical-intrusion-detection-system-based-on-denoising-autoencoder-and-lightgbm-classifier-with-improved-detection-pe
MLA“A practical intrusion detection system based on denoising autoencoder and LightGBM classifier with improved detection performance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-practical-intrusion-detection-system-based-on-denoising-autoencoder-and-lightgbm-classifier-with-improved-detection-pe.
BibTeX@misc{4ortxyz_a-practical-intrusion-detection-system-based-on-denoising-autoencoder-and-lightgbm-classifier-with-improved-detection-pe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A practical intrusion detection system based on denoising autoencoder and LightGBM classifier with improved detection performance}}, year = {2026}, url = {https://4ort.xyz/entity/a-practical-intrusion-detection-system-based-on-denoising-autoencoder-and-lightgbm-classifier-with-improved-detection-pe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A practical intrusion detection system based on denoising autoencoder and LightGBM classifier with improved detection performance — https://4ort.xyz/entity/a-practical-intrusion-detection-system-based-on-denoising-autoencoder-and-lightgbm-classifier-with-improved-detection-pe (retrieved 2026-05-24)
