Artificial intelligence and machine learning in the thermal spray industry: practices, implementation, and challenges (Record no. 61029)

MARC details
000 -LEADER
fixed length control field 02986 a2200277 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240920b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032502243
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 671.734028563 THA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Thakur, Lalit
245 ## - TITLE STATEMENT
Title Artificial intelligence and machine learning in the thermal spray industry: practices, implementation, and challenges
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton:
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc 2024.
300 ## - PHYSICAL DESCRIPTION
Extent ix, 127p.:
Other physical details ill,; hbk.:
Dimensions 24cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Multi-Scale and Multi-Functional Materials: Design, Development, and Applications.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes Bibliographical References and Index.
520 ## - SUMMARY, ETC.
Summary, etc This book details the emerging area of the induction of expert systems in thermal spray technology, replacing traditional parametric optimization methods like numerical modeling and simulation. It promotes, enlightens, and hastens the digital transformation of the surface engineering industry by discussing the contribution of expert systems like Machine Learning (ML) and Artificial Intelligence (AI) toward achieving durable Thermal Spray (TS) coatings.<br/><br/>Artificial Intelligence and Machine Learning in the Thermal Spray Industry: Practices, Implementation, and Challenges highlights how AI and ML techniques are used in the TS industry. It sheds light on AI’s versatility, revealing its applicability in solving problems related to conventional simulation and numeric modeling techniques. This book combines automated technologies with expert machines to show several advantages, including decreased error and greater accuracy in judgment, and prediction, enhanced efficiency, reduced time consumption, and lower costs. Specific barriers preventing AI’s successful implementation in the TS industry are also discussed. This book also looks at how training and validating more models with microstructural features of deposited coating will be the center point to grooming this technology in the future. Lastly, this book thoroughly analyzes the digital technologies available for modeling and achieving high-performance coatings, including giving AI-related models like Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) more attention.<br/><br/>This reference book is directed toward professors, students, practitioners, and researchers of higher education institutions working in the fields that deal with the application of AI and ML technology.<br/><br/>https://www.routledge.com/Artificial-Intelligence-and-Machine-Learning-in-the-Thermal-Spray-Industry-Practices-Implementation-and-Challenges/Thakur-Vasudev-Singh-Prashar/p/book/9781032502243
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Metal Spraying
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Industrial Applications
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Generative Adversarial Networks (GANs)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning Techniques
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Aided Design (CAD)
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Vasudev, Hitesh
Relator term Co-author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Singh, Jashanpreet
Relator term Co-author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Prashar, Gaurav
Relator term Co-author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Copy number Cost, replacement price Koha item type
    Dewey Decimal Classification     General IIT Gandhinagar IIT Gandhinagar 19/09/2024 CBS 11323.20 1 671.734028563 THA 034510 16/05/2025 16/12/2024 1 11323.20 Books


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