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      Data-Driven Machine Learning Approach for Modeling the Production and Predicting the Characteristics of Aligned Electrospun Nanofibers

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          Taking the Human Out of the Loop: A Review of Bayesian Optimization

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            On hyperparameter optimization of machine learning algorithms: Theory and practice

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              Understanding of a convolutional neural network

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                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Industrial & Engineering Chemistry Research
                Ind. Eng. Chem. Res.
                American Chemical Society (ACS)
                0888-5885
                1520-5045
                June 05 2024
                March 27 2024
                June 05 2024
                : 63
                : 22
                : 9904-9913
                Affiliations
                [1 ]Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Av. Francisco J. Múgica, S/N, Ciudad Universitaria, Edificio V1, Morelia, Michoacán 58060, México
                [2 ]Biological and Chemical Research Institute, Universidad Michoacana de San Nicolás de Hidalgo, Av. Francisco J. Múgica, S/N, Ciudad Universitaria, Edificio V1, Morelia, Michoacán 58060, México
                [3 ]Instituto de Química, Universidad Nacional Autónoma de México, Circuito Exterior S/N, Ciudad Universitaria,Ciudad de México04510, México
                Article
                10.1021/acs.iecr.4c00075
                4305072f-1d57-488a-b76b-87b3e32c864b
                © 2024

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-045

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