An explainable artificial intelligence based approach for interpretation of fault classification results from deep neural networks

Research article (Chemical Engineering Science, 2021) · cited 45× · AI/ML
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An explainable artificial intelligence based approach for interpretation of fault classification results from deep neural networks

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An explainable artificial intelligence based approach for interpretation of fault classification results from deep neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An explainable artificial intelligence based approach for interpretation of fault classification results from deep neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-explainable-artificial-intelligence-based-approach-for-interpretation-of-fault-classification-results-from-deep-neura
MLA “An explainable artificial intelligence based approach for interpretation of fault classification results from deep neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-explainable-artificial-intelligence-based-approach-for-interpretation-of-fault-classification-results-from-deep-neura.
BibTeX @misc{4ortxyz_an-explainable-artificial-intelligence-based-approach-for-interpretation-of-fault-classification-results-from-deep-neura_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An explainable artificial intelligence based approach for interpretation of fault classification results from deep neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/an-explainable-artificial-intelligence-based-approach-for-interpretation-of-fault-classification-results-from-deep-neura}, note = {Accessed: 2026-05-24}}
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