An edge computing based anomaly detection method in IoT industrial sustainability

Research article (Applied Soft Computing, 2022) · cited 67× · AI/ML
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An edge computing based anomaly detection method in IoT industrial sustainability

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An edge computing based anomaly detection method in IoT industrial sustainability is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An edge computing based anomaly detection method in IoT industrial sustainability. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-edge-computing-based-anomaly-detection-method-in-iot-industrial-sustainability
MLA “An edge computing based anomaly detection method in IoT industrial sustainability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-edge-computing-based-anomaly-detection-method-in-iot-industrial-sustainability.
BibTeX @misc{4ortxyz_an-edge-computing-based-anomaly-detection-method-in-iot-industrial-sustainability_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An edge computing based anomaly detection method in IoT industrial sustainability}}, year = {2026}, url = {https://4ort.xyz/entity/an-edge-computing-based-anomaly-detection-method-in-iot-industrial-sustainability}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An edge computing based anomaly detection method in IoT industrial sustainability — https://4ort.xyz/entity/an-edge-computing-based-anomaly-detection-method-in-iot-industrial-sustainability (retrieved 2026-05-24)

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