Time domain graph-based anomaly detection approach applied to a real industrial problem

Research article (Computers in Industry, 2022) · cited 10× · AI/ML
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Time domain graph-based anomaly detection approach applied to a real industrial problem

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Time domain graph-based anomaly detection approach applied to a real industrial problem is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Time domain graph-based anomaly detection approach applied to a real industrial problem. Retrieved May 24, 2026, from https://4ort.xyz/entity/time-domain-graph-based-anomaly-detection-approach-applied-to-a-real-industrial-problem
MLA “Time domain graph-based anomaly detection approach applied to a real industrial problem.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/time-domain-graph-based-anomaly-detection-approach-applied-to-a-real-industrial-problem.
BibTeX @misc{4ortxyz_time-domain-graph-based-anomaly-detection-approach-applied-to-a-real-industrial-problem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Time domain graph-based anomaly detection approach applied to a real industrial problem}}, year = {2026}, url = {https://4ort.xyz/entity/time-domain-graph-based-anomaly-detection-approach-applied-to-a-real-industrial-problem}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Time domain graph-based anomaly detection approach applied to a real industrial problem — https://4ort.xyz/entity/time-domain-graph-based-anomaly-detection-approach-applied-to-a-real-industrial-problem (retrieved 2026-05-24)

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