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Machine learning in process systems engineering: Challenges and opportunities

Document Type

Article

Author

Daoutidis, P.; Lee, J.H.; Rangarajan, S.; Chiang, L.; Gopaluni, B.; Schweidtmann, A.M.; Harjunkoski, I.; Mercangöz, M.; del Rio Chanona, A.; Mesbah, A.; Boukouvala, F.; Lima, F.V.; Georgakis, C.

Source

In: Computers and Chemical Engineering. (Computers and Chemical Engineering, February 2024, 181)

Subject

Language

English

ISSN

00981354

Online Access

Full Text (ScienceDirect) Web of Science JCR 저널정보 Scopus Find it@PNU

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