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

by Bhakte, Abhijit, Pakkiriswamy, Venkatesh, Srinivasan, Rajagopalan
Published in Chemical engineering science (15.03.2022)

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Alarm-based explanations of process monitoring results from deep neural networks

by Bhakte, Abhijit, Chakane, Mangesh, Srinivasan, Rajagopalan
Published in Computers & chemical engineering (01.11.2023)

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Journal Article

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Explainable AI methodology for understanding fault detection results during Multi-Mode operations

by Bhakte, Abhijit, Kumar Kumawat, Piyush, Srinivasan, Rajagopalan
Published in Chemical engineering science (05.11.2024)

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Journal Article

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Potential for Counterfactual Explanations to Support Digitalized Plant Operations

by Bhakte, Abhijit, Srinivasan, Rajagopalan
Published in Computer Aided Chemical Engineering (2024)

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Book Chapter

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Adaptive Physics-Informed Neural Network for Prediction with Evolving Process Parameters

by Thosar, Devavrat, Bhakte, Abhijit, Li, Zukui, Rajendran, Arvind, Srinivasan, Rajagopalan, Prasad, Vinay
Published in Computer Aided Chemical Engineering (2024)

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Book Chapter

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

Alarm-based explanations of process monitoring results from deep neural networks

Explainable AI methodology for understanding fault detection results during Multi-Mode operations

Potential for Counterfactual Explanations to Support Digitalized Plant Operations

Adaptive Physics-Informed Neural Network for Prediction with Evolving Process Parameters

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