Anomaly Detection of Metallurgical Energy Data Based on iForest-AE

Research article (Applied Sciences, 2022) · cited 11× · AI/ML
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Anomaly Detection of Metallurgical Energy Data Based on iForest-AE

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Anomaly Detection of Metallurgical Energy Data Based on iForest-AE is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Anomaly Detection of Metallurgical Energy Data Based on iForest-AE. Retrieved May 24, 2026, from https://4ort.xyz/entity/anomaly-detection-of-metallurgical-energy-data-based-on-iforest-ae
MLA “Anomaly Detection of Metallurgical Energy Data Based on iForest-AE.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/anomaly-detection-of-metallurgical-energy-data-based-on-iforest-ae.
BibTeX @misc{4ortxyz_anomaly-detection-of-metallurgical-energy-data-based-on-iforest-ae_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Anomaly Detection of Metallurgical Energy Data Based on iForest-AE}}, year = {2026}, url = {https://4ort.xyz/entity/anomaly-detection-of-metallurgical-energy-data-based-on-iforest-ae}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Anomaly Detection of Metallurgical Energy Data Based on iForest-AE — https://4ort.xyz/entity/anomaly-detection-of-metallurgical-energy-data-based-on-iforest-ae (retrieved 2026-05-24)

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