Isbn: 9786207486915 - machine learning models for industrialized paints and coatings: machine learning models, sustainable solutions, global investigation, and applications (8 risultati)

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2024

      6207486919 / 9786207486915

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      Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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      Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2024

      6207486919 / 9786207486915

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      Da: preigu, Osnabrück, Germaniapreigu

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      Taschenbuch. Condizione: Neu. Machine Learning Models for Industrialized Paints and Coatings | Machine Learning Models, Sustainable Solutions, Global Investigation, and Applications | Omkar Kushwaha (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207486915 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2024

      6207486919 / 9786207486915

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Apr 2024, 2024

      6207486919 / 9786207486915

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2024

      6207486919 / 9786207486915

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      Condizione: New. PRINT ON DEMAND.

    • Lingua: Inglese

      Editore: LAP Lambert Academic Publishing, 2024

      6207486919 / 9786207486915

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Over time, improvements in the study and theoretical formulation of commercially available coatings and paints have been made using thermodynamic and general property models. These models aid in reducing the number of materials and required design time. Non.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2024

      6207486919 / 9786207486915

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over time, improvements in the study and theoretical formulation of commercially available coatings and paints have been made using thermodynamic and general property models. These models aid in reducing the number of materials and required design time. Nonetheless, this cannot be ignored when predicting service life, creating new products, or validating experiments. These models aid formulation chemists in expediting the design process, allowing them to concentrate on their experimental work on the coating formulation's component parts. Only if there is a substantial amount of data on observed anomalies from theoretical predictions based on physiochemistry, can machine learning algorithms help increase the accuracy of predictive approaches. This book discusses a number of commercialized layer qualities, including materials, mechanical properties, high-temperature performance, residual stress, failure processes, and life prediction methods.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Apr 2024, 2024

      6207486919 / 9786207486915

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over time, improvements in the study and theoretical formulation of commercially available coatings and paints have been made using thermodynamic and general property models. These models aid in reducing the number of materials and required design time. Nonetheless, this cannot be ignored when predicting service life, creating new products, or validating experiments. These models aid formulation chemists in expediting the design process, allowing them to concentrate on their experimental work on the coating formulation's component parts. Only if there is a substantial amount of data on observed anomalies from theoretical predictions based on physiochemistry, can machine learning algorithms help increase the accuracy of predictive approaches. This book discusses a number of commercialized layer qualities, including materials, mechanical properties, high-temperature performance, residual stress, failure processes, and life prediction methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.