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Residual-Enhanced Physics-Guided Machine Learning With Hard Constraints for Subsurface Flow in Reservoir Engineering
State Key Laboratory of Robotics, Shenyang Institute of Automation, Key Laboratory of Networked Control SystemsInstitutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China; School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China.
State Key Laboratory of Robotics, Shenyang Institute of Automation, Key Laboratory of Networked Control SystemsInstitutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China; School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China.
State Key Laboratory of Robotics, Shenyang Institute of Automation, Key Laboratory of Networked Control SystemsInstitutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China; School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland.ORCID iD: 0000-0002-9315-9920
2024 (English)In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 62, article id 4502209Article in journal (Refereed) Published
Place, publisher, year, edition, pages
IEEE, 2024. Vol. 62, article id 4502209
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Computer Sciences
Research subject
Dependable Communication and Computation Systems
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URN: urn:nbn:se:ltu:diva-104302DOI: 10.1109/TGRS.2024.3357797ISI: 001173250800028Scopus ID: 2-s2.0-85183949404OAI: oai:DiVA.org:ltu-104302DiVA, id: diva2:1838708
Note

Validerad;2024;Nivå 2;2024-03-22 (joosat);

Funder: National Natural Science Foundation of China (62203234); State Key Laboratory of Robotics of China (2023-Z03); Natural Science Foundation of Liaoning Province (2023-BS-025); Research Program of Liaoning Liaohe Laboratory (LLL23ZZ-02-02);

Available from: 2024-02-19 Created: 2024-02-19 Last updated: 2024-11-20Bibliographically approved

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