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Experiment-Driven Gaussian Process Surrogate Modeling and Bayesian Optimization for Multi-Objective Injection Molding.

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Title: Experiment-Driven Gaussian Process Surrogate Modeling and Bayesian Optimization for Multi-Objective Injection Molding.
Authors: Omar, Hanafy M.1 (AUTHOR), Mukras, Saad M. S.1 (AUTHOR) mkras@qu.edu.sa
Source: Polymers (20734360). Apr2026, Vol. 18 Issue 8, p902. 21p.
Database: Academic Search Ultimate
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193439478
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        Value: 10.3390/polym18080902
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        Text: English
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      – TitleFull: Experiment-Driven Gaussian Process Surrogate Modeling and Bayesian Optimization for Multi-Objective Injection Molding.
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              Text: Apr2026
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