9781032796895 - Machine Learning for Advanced Manufacturing (16 risultati)

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New.

Condizione: New.

Condizione: New.

Hardcover. Condizione: Brand New. 216 pages. 9.18x6.12x9.45 inches. In Stock.

Hardcover. Condizione: new. Hardcover. This book presents the use of machine learning (ML) and artificial intelligence in advanced and new manufacturing processes, including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological properties of polymer-, metal-, and ceramic-based additive manufactured components. It details the various technologies available to fortify the machine learning aspects in the advanced manufacturing processes, focusing on multidisciplinary domains of science and technology.Features:Establishes a relationship between ML and advanced manufacturing (AM) technology.Helps understand the challenges and opportunities of using ML in materials processing, selection, and manufacturing for different areas.Reviews the hybridization of techniques under ML for prediction and optimization for quality, productivity, and sustainability in manufacturing.Provides a comprehensive overview of the state-of-the-art, future directions, latest developments, and recent developments in ML for AM.Covers the basics of ML with implementation procedure and effectivenessdetails to provide a roadmap.This book is aimed at researchers and graduate students in mechanical, manufacturing, and industrial engineering. This book presents the use of Machine Learning and Artificial Intelligence in advanced and new manufacturing processes including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological properties of polymer, metals, and ceramic based additive manufactured components. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. This book presents the use of machine learning (ML) and artificial intelligence in advanced and new manufacturing processes, including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological properties of polymer-, metal-, and ceramic-based additive manufactured components. It details the various technologies available to fortify the machine learning aspects in the advanced manufacturing processes, focusing on multidisciplinary domains of science and technology.Features:Establishes a relationship between ML and advanced manufacturing (AM) technology.Helps understand the challenges and opportunities of using ML in materials processing, selection, and manufacturing for different areas.Reviews the hybridization of techniques under ML for prediction and optimization for quality, productivity, and sustainability in manufacturing.Provides a comprehensive overview of the state-of-the-art, future directions, latest developments, and recent developments in ML for AM.Covers the basics of ML with implementation procedure and effectivenessdetails to provide a roadmap.This book is aimed at researchers and graduate students in mechanical, manufacturing, and industrial engineering. This book presents the use of Machine Learning and Artificial Intelligence in advanced and new manufacturing processes including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological properties of polymer, metals, and ceramic based additive manufactured components. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: Brand New. 216 pages. 9.18x6.12x9.45 inches. In Stock. This item is printed on demand.

Hardcover. Condizione: new. Hardcover. This book presents the use of machine learning (ML) and artificial intelligence in advanced and new manufacturing processes, including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological properties of polymer-, metal-, and ceramic-based additive manufactured components. It details the various technologies available to fortify the machine learning aspects in the advanced manufacturing processes, focusing on multidisciplinary domains of science and technology.Features:Establishes a relationship between ML and advanced manufacturing (AM) technology.Helps understand the challenges and opportunities of using ML in materials processing, selection, and manufacturing for different areas.Reviews the hybridization of techniques under ML for prediction and optimization for quality, productivity, and sustainability in manufacturing.Provides a comprehensive overview of the state-of-the-art, future directions, latest developments, and recent developments in ML for AM.Covers the basics of ML with implementation procedure and effectivenessdetails to provide a roadmap.This book is aimed at researchers and graduate students in mechanical, manufacturing, and industrial engineering. This book presents the use of Machine Learning and Artificial Intelligence in advanced and new manufacturing processes including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological properties of polymer, metals, and ceramic based additive manufactured components. 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.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the use of Machine Learning and Artificial Intelligence in advanced and new manufacturing processes including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological properties of polymer, metals, and ceramic based additive manufactured components.