Artificial Intelligence in Textile Engineering: Basic Concepts and Applications (The Textile Institute Book Series) - Softcover

Ghosh, Anindya; Das, Subhasis; Saha, Bapi

Softcover

ISBN 10: 0443153957 ISBN 13: 9780443153952

Publisher: Woodhead Publishing, 2024

Synopsis

Artificial Intelligence in Textile Engineering: Basic Concepts and Applications explains techniques from first principles in the perfect way for textiles materials scientists and engineers. The book discusses how the technology has caused a substantial impact across the textiles supply chain, making products more efficient, flexible, and reliable. Techniques such as artificial neural network, support vector machine, fuzzy logic, rough set, evolutionary algorithm, and hybrid intelligence systems are described with application to textiles. Readers are supported throughout with step-by-step mathematical derivations of AI techniques, case studies, and MATLAB codes, giving readers from different backgrounds the perfect entry to AI solutions.

• Includes MATLAB® codes for solving various artificial intelligence techniques
• Provides case studies, practical examples of textile engineering problems and self-study problems in each chapter
• Presents step-by-step mathematical derivations of artificial intelligence techniques throughout

About this title

About the Authors

Anindya Ghosh is an Associate Professor at the Government College of Engineering and Textile Technology, Berhampore, West Bengal, India. He has experience of working in the textile spinning industry as a shift engineer before studying for his PhD at the Indian Institute of Technology, Delhi, India, in 2004. He also received the Career Award for Young Teacher–2009 from the All India Council for Technical Education (AICTE). He has more than 17 years of teaching experience. His research areas include yarn manufacturing, yarn and fabric structures, artificial intelligence, modelling and simulation, statistical quality control, optimization and decision-making techniques. He has published more than 80 papers in various refereed journals, and co-authored two books.

Subhasis Das is an Assistant Professor in the Department of Textile Technology, Government College of Engineering & Textile Technology, Berhampore. He was awarded a gold medal for his M.Tech. in Textile Engineering from Indian Institute of Technology Delhi. He has 1 year experience of working in the textile industry before joining academia. His research work involves artificial intelligence, optimization and decision-making techniques. He has published 42 research papers and conference proceedings.

Bapi Saha is an Assistant Professor of mathematics at the Government College of Engineering and Textile Technology, Berhampore, West Bengal, India. He previously received the Junior Research Fellowship from the Council of Scientific and Industrial Research, MHRD, Government of India, and worked as a Junior Research Fellow at the Indian Statistical Institute. He has more than ten years of teaching experience, and his research interests include mathematical biology, biostatistics, and stochastic modelling. He has published 10 research articles, including a single-author article, in peer-reviewed international journals. He has also published articles in the proceedings of national and international conferences and has co-authored 1 book.

From the Back Cover

Artificial Intelligence in Textile Engineering explains Artificial Intelligence techniques from first principles in the perfect way for textiles materials scientists and engineers. Advances in Artificial Intelligence technology have made a substantial impact across the textiles supply chain, making products more efficient, flexible and reliable. In this book techniques such as artificial neural network, support vector machine, fuzzy logic, rough set, evolutionary algorithm, and hybrid intelligence systems are described with application to textiles. Readers are supported throughout with step by step mathematical derivations of AI techniques, case studies, as well as MATLAB codes, giving readers from different backgrounds the perfect entry to AI solutions.

Edition details

• Publisher: Woodhead Publishing
• Publication date: 2024
• Language: English
• ISBN 10: 0443153957
• ISBN 13: 9780443153952
• Binding: Paperback
• Number of pages: 310