Data-driven Optimization of Manufacturing Processes
Language: English
Published by Igi Global Scientific Publishing, 2020
- Softcover
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- Title
- Data-driven Optimization of Manufacturing Processes
- Author
- Kalita, Kanak (EDT); Ghadai, Ranjan Kumar (EDT); Gao, Xiao-Zhi (EDT)
- Publisher
- Igi Global Scientific Publishing
- Publication year
- 2020
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1799872076
- ISBN 13
- 9781799872078
Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.
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About the Author
Ranjan Kumar Ghada i received his B. Tech in Mechanical Engineering from Biju Patnaik University of Technology, Odisha, India, M.E and PhD from Indian Institute of Engineering, Science & Technology, Shibpur, India. He has over 6 years of teaching and research experience. Currently, he is working as an assistant professor in the mechanical engineering department of Sikkim Manipal Institute of Technology, Sikkim. He has published more than 35 SCI/Scopus indexed research articles. His areas of interests include thin-film coatings and its characterization, heat treatment, optimization of coatings and machining process parameters. He is on the editorial board of several peer-reviewed journals. He also serves as reviewer of many peer-reviewed journals. He has given several expert talks in many conference and workshop as a resource person.
Xiao-Zhi Gao is an esteemed academic with an extensive background in technology and computing. He commenced his academic journey at Harbin Institute of Technology, China, where he earned both his B.Sc. and M.Sc. degrees. Dr. Gao further advanced his education at the Helsinki University of Technology, now known as Aalto University, Finland, where he obtained his Ph.D. degree in 1999. With over 22 years of experience in teaching and research, Dr. Gao has established himself as a leading figure in the field. Since 2018, he has been a Professor od Data Science at the University of Eastern Finland, Kuopio, Finland, where he continues to contribute significantly to the academic community. Dr. Gao's editorial roles are remarkable. He serves as chief editor, associate editor, and a member of the editorial board for several prominent soft-computing journals, including Swarm and Evolutionary Computation, Information Sciences, and Applied Soft Computing. His scholarly output is impressive, with over 500 technical papers published in refereed journals and international conferences, and more than 400 SCI/SCOPUS research articles to his name. In addition to his extensive list of articles, Dr. Gao has authored 2 books and edited 4 books for renowned publishers such as Springer and IGI Global. His research is particularly focused on nature-inspired computing methods, with applications spanning optimization, prediction, data mining, signal processing, control, and industrial electronics. This breadth of interest underscores his deep understanding and innovative approach to complex technological challenges. Dr. Gao's academic achievements are further highlighted by his impressive Google Scholar H-index of 44, reflecting the widespread influence and high citation rate of his work. His dedication to advancing the frontiers of knowledge in computing and technology makes him a vital asset to the global academic and scientific community. His ORCID is 0000-0002-0078-5675.
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