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Intelligent Machining: Using Computational Intelligence to Optimize Manufacturing Processes - Hardcover

 
9781774919583: Intelligent Machining: Using Computational Intelligence to Optimize Manufacturing Processes
Hardcover
ISBN 10: 1774919583 ISBN 13: 9781774919583
Verlag: Apple Academic Press, 2025

Inhaltsangabe

Explores high-strength steel sections, charting their importance and utility. Provides bibliometric insights into multi-objective optimization and metaheuristic algorithms. Covers development of high entropy alloys.

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Über die Autorin bzw. den Autor

Kanak Kalita, PhD, is an Associate Professor of Mechanical Engineering at Vel Tech University, Chennai, India. A prolific author and editor, he is listed among the Top 2% Scientists Worldwide 2023 by Stanford University. Dr. Kalita is an engaging speaker, having delivered expert lectures across various academic and professional platforms. His research interests include machine learning, fuzzy decision making, metamodeling, process optimization, the finite element method, and composites.
Ranjan Kumar Ghadai, PhD, is an Associate Professor of Mechanical and Industrial Engineering at the Manipal Institute of Technology, India. He has published more than 75 SCI/Scopus-indexed research articles and is a reviewer for several journals. He is also handling sponsored projects as principal or coprincipal investigator. His broad research area includes thin film coating deposition, process optimization, and development of composites.
Xiao-Zhi Gao, PhD, has been a Professor at the University of Eastern Finland, Kuopio, since 2018. Dr. Gao serves as chief editor, associate editor, and a member of the editorial boards for several prominent soft computing journals. He has published over 500 technical papers and over 400 research articles as well as two authored books and several edited books. His research is focused on nature-inspired computing methods, with applications spanning optimization, prediction, data mining, signal processing, control, and industrial electronics.

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Verlag
Apple Academic Press
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
1774919583
ISBN 13 
9781774919583
Einband
Gebundene Ausgabe
Anzahl der Seiten
290
Herausgeber
Kalita Kanak, Ghadai Ranjan Kumar, Gao Xiao-Zhi
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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