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Springer - Machine Learning Applied to Composite Materials

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Description

Expand your technical knowledge with Machine Learning Applied to Composite Materials, part of the Composites Science and Technology series from Springer. This specialized text provides a focused look at how artificial intelligence and machine learning techniques integrate with materials science. Designed for professionals and students in the field of computer science and AI, this book addresses the intersection of advanced computing and composite material development. By exploring these modern computational methods, readers can better understand the evolving landscape of material design and analysis. As a publication from Springer, this book serves as a valuable resource for those studying AI and machine learning within the context of engineering and material technology. It is an essential addition to any academic or professional library focused on the future of computer science and material engineering.

Key Features

Part of the respected Composites Science and Technology series from Springer.

Focuses on the application of machine learning within the field of composite materials.

Provides technical content suitable for computer science and AI researchers.

Connects advanced computing concepts with practical materials science applications.

Published by Springer, a leading name in academic and scientific literature.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 November 2022
Listed Since
28 July 2022

Barcode

No barcode data available

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