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Application of Machine Learning to Predict the Performance of an EMIPG Reactor Using Data from Numerical Simulations
Energies ; 15(7):2559, 2022.
Article in English | ProQuest Central | ID: covidwho-1785586
Full text: Available Collection: Databases of international organizations Database: ProQuest Central Type of study: Prognostic study Language: English Journal: Energies Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Type of study: Prognostic study Language: English Journal: Energies Year: 2022 Document Type: Article