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Investigating the Effectiveness of Recurrent Neural Networks for Network Anomaly Detection
Research article (2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), 2024) · cited 12× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Investigating the Effectiveness of Recurrent Neural Networks for Network Anomaly Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/investigating-the-effectiveness-of-recurrent-neural-networks-for-network-anomaly-detection
MLA“Investigating the Effectiveness of Recurrent Neural Networks for Network Anomaly Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/investigating-the-effectiveness-of-recurrent-neural-networks-for-network-anomaly-detection.
BibTeX@misc{4ortxyz_investigating-the-effectiveness-of-recurrent-neural-networks-for-network-anomaly-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Investigating the Effectiveness of Recurrent Neural Networks for Network Anomaly Detection}}, year = {2026}, url = {https://4ort.xyz/entity/investigating-the-effectiveness-of-recurrent-neural-networks-for-network-anomaly-detection}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Investigating the Effectiveness of Recurrent Neural Networks for Network Anomaly Detection — https://4ort.xyz/entity/investigating-the-effectiveness-of-recurrent-neural-networks-for-network-anomaly-detection (retrieved 2026-05-24)