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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Añadir al carritoPaperback. Condición: Brand New. 208 pages. 6.14x0.46x9.21 inches. In Stock.
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Añadir al carritoCondición: New. Akshansh Mishra is pursuing a Master s in Materials Engineering and Nanotechnology at Politecnico Di Milano, Milan, Italy. He works on the application of Artificial Intelligence-based algorithms in the Manufacturing and Materials sectors. His main.
Idioma: Inglés
Publicado por Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1032568534 ISBN 13: 9781032568539
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 105,25
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1032568534 ISBN 13: 9781032568539
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: new. Paperback. The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms. The book explores the use of AI and ML techniques for the design, characterization, and development of prediction analysis of sustainable polymer composites. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1032568534 ISBN 13: 9781032568539
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Añadir al carritoPaperback. Condición: new. Paperback. The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms. The book explores the use of AI and ML techniques for the design, characterization, and development of prediction analysis of sustainable polymer composites. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1032568534 ISBN 13: 9781032568539
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 106,89
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Añadir al carritoPaperback. Condición: new. Paperback. The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms. The book explores the use of AI and ML techniques for the design, characterization, and development of prediction analysis of sustainable polymer composites. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.