Abnormal Condition Identification via OVR-IRBF-NN for the Process Industry with Imprecise Data and Semantic Information

Research article (Industrial & Engineering Chemistry Research, 2020) · cited 12× · AI/ML
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Abnormal Condition Identification via OVR-IRBF-NN for the Process Industry with Imprecise Data and Semantic Information

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Abnormal Condition Identification via OVR-IRBF-NN for the Process Industry with Imprecise Data and Semantic Information is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Abnormal Condition Identification via OVR-IRBF-NN for the Process Industry with Imprecise Data and Semantic Information. Retrieved May 24, 2026, from https://4ort.xyz/entity/abnormal-condition-identification-via-ovr-irbf-nn-for-the-process-industry-with-imprecise-data-and-semantic-information
MLA “Abnormal Condition Identification via OVR-IRBF-NN for the Process Industry with Imprecise Data and Semantic Information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/abnormal-condition-identification-via-ovr-irbf-nn-for-the-process-industry-with-imprecise-data-and-semantic-information.
BibTeX @misc{4ortxyz_abnormal-condition-identification-via-ovr-irbf-nn-for-the-process-industry-with-imprecise-data-and-semantic-information_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Abnormal Condition Identification via OVR-IRBF-NN for the Process Industry with Imprecise Data and Semantic Information}}, year = {2026}, url = {https://4ort.xyz/entity/abnormal-condition-identification-via-ovr-irbf-nn-for-the-process-industry-with-imprecise-data-and-semantic-information}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Abnormal Condition Identification via OVR-IRBF-NN for the Process Industry with Imprecise Data and Semantic Information — https://4ort.xyz/entity/abnormal-condition-identification-via-ovr-irbf-nn-for-the-process-industry-with-imprecise-data-and-semantic-information (retrieved 2026-05-24)

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