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M. R. Sanjay – författare

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4 produkter

  1. Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin - Machine Learning Applied to Composite Materials, Inbunden. Tillgänglighet: Lägg i varukorg

    Machine Learning Applied to Composite Materials

    Av Vinod Kushvaha, M. R. Sanjay m. fl.

    Inbunden, 2022

    2189 kr

    Lägg i varukorg

    This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be …

  2. Suchart Siengchin, Priyanka Madhushri, M. R. Sanjay, Vinod Kushvaha - Machine Learning Applied to Composite Materials, E-bok. Tillgänglighet: Lägg i varukorg

    Machine Learning Applied to Composite Materials

    Av Suchart Siengchin, Priyanka Madhushri m. fl.

    E-bok, 2022

    2925 kr

    Lägg i varukorg

    This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be …

  3. Vinod Kushvaha, M. R. Sanjay - Machine Learning Applied to Composite Materials. Tillgänglighet: Lägg i varukorg

    Machine Learning Applied to Composite Materials

    Av Vinod Kushvaha, M. R. Sanjay

    2022

    667 kr

    Lägg i varukorg

  4. Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin - Machine Learning Applied to Composite Materials, Häftad. Tillgänglighet: Lägg i varukorg

    Machine Learning Applied to Composite Materials

    Av Vinod Kushvaha, M. R. Sanjay m. fl.

    Häftad, 2023

    2189 kr

    Lägg i varukorg

    This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be …