Kushvaha vinod (73 risultati)

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Paperback. Condizione: Brand New. 206 pages. 9.21x6.14x0.43 inches. In Stock.

Taschenbuch. Condizione: Neu. Fatigue assessment of composite laminates | A computational approach to assess the fatigue | Vinod Kushvaha | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2010 | VDM Verlag Dr. Müller | EAN 9783639312461 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. …

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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Paperback. Condizione: new. Paperback. Polymer Composite Systems in Pipeline Repair: Design, Manufacture, Application, and Environmental Impacts Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material's electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.…

Taschenbuch. Condizione: Neu. Machine Learning for Advanced Functional Materials | Nirav Joshi (u. a.) | Taschenbuch | viii | Englisch | 2024 | Springer | EAN 9789819903955 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condizione: New. 2023rd edition NO-PA16APR2015-KAP.

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Condizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.

Hardcover. Condizione: new. Hardcover. This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the materials electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods. This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New.

Condizione: New.

Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

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Condizione: New. Present readers with detailed knowledge on the design, manufacture and application of composite systems used to repair damage in pipelines Assesses the environmental impacts on pipeline repairs using nano materials Provides the mo.

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material's electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.…

Paperback. Condizione: Brand New. 350 pages. 9.00x6.00x0.63 inches. In Stock.

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Hardcover. Condizione: gut. 2023. Machine Learning for Advanced Functional Materials In deutscher Sprache. pages.

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Condizione: As New. Unread book in perfect condition.