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Machine learning in process systems engineering: Challenges and opportunities
2023
91 citations
Journal Article
Field-Weighted Citation Impact:
8.81
Machine learning in process systems engineering: Challenges and opportunities | Researchclopedia
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Hitachi (Germany)
Mehmet Mercangöz
·
Imperial College London
Ali Mesbah
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University of California, Berkeley
Fani Boukouvala
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Georgia Institute of Technology
Fernando V. Lima
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West Virginia University
Ehecatl Antonio del Rio‐Chanona
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Imperial College London
Christos Georgakis
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Tufts University