"Guest Editorial: Scientific and Physics-Informed Machine Learning for ..."

Francesco Piccialli et al. (2023)

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DOI: 10.1109/TII.2022.3215432

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type: Journal Article

metadata version: 2023-01-15

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Francesco Piccialli, Fabio Giampaolo, David Camacho, Gang Mei:
Guest Editorial: Scientific and Physics-Informed Machine Learning for Industrial Applications. IEEE Trans. Ind. Informatics 19(2): 2161-2164 (2023)

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