Soft Computing in Smart Manufacturing and Materials - Brossura

Brossura

ISBN 10: 0443299277 ISBN 13: 9780443299278

Casa editrice: Elsevier, 2025

Riassunto

Soft Computing in Smart Manufacturing and Materials explains the role of soft computing in the manufacturing industries. It presents the techniques, concepts and design principles behind smart soft computing, and describes how they can be applied in the development and manufacture of smart materials. It provides perspectives for design and commissioning of intelligent applications, including in health care, agriculture, and production assembly, and reviews the latest intelligent technologies and algorithms related to the methodologies of monitoring and mitigation of sustainable engineering.

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Informazioni sugli autori

Sudan Jha holds a Ph.D. in CSE and Ph.D. in CE*, with 18 years of experience in Academia, Administration as a Principal in four Colleges in India and Nepal, and Industrial Research and Software Project Development & Management. As a team leader, Dr Jha executed three government-funded projects; sat on the Board of Directors and acted as Technical Advisor for Nepal's National Television (NTV); Chief IT Consultant in Nepal Telecom Authority, the regulating body for telecommunications in Nepal. Dr Jha has published 31 International Journal transaction papers [SCOPUS Indexed-3, UGC Approved-8, Others-20]; 30+ conference papers; 8 major software developed as Team Leader including Govt and non Govt. organization, and are a Editorial board member for several Journals, International Conferences, and books.

Dr. Shubhabrata Datta is a Research Professor in Mechanical Engineering of SRM Institute of Science and Technology, Kattanku lathur, Chennai, India. His research interest is in the domain of design of materials using artificial intelligence and machine learning techniques. Dr. Datta has more than 150 publications in journals and peer-reviewed conference proceedings. He was bestowed with the Exchange Scientist Award from Royal Academy of Engineering, UK and worked in the University of Sheffield, UK. He also worked in Dept of Materials Science and Engineering, Helsinki University of Technology, Finland, Dept of Materials Science and Engineering, Iowa State University, Ames, USA and Heat Engineering Lab, Dept of Chemical Engineering, Åbo Akademi University, Finland as Visiting Scientist. He is a Fellow of Institution of Engineers (India), Associate Editor, Journal of the Institution of Engineers (India): Series D, and editorial board member of several international journals.

Deepak Prashar received B. Tech in Computer Science and Engineering from Punjab Technical University, Pun- jab, India in 2007 and M. Tech. in Computer Science and Engineering from PEC University of Technology, Chandigarh, India in 2009. Presently he is working as a Professor and Coordinator of School of Computer Science & Engineering at Lovely Professional University, Punjab, India since 2009. He has completed his Ph. D. degree from Punjab Technical University (Punjab). He has published more than 90 research papers in reputed national, international conferences and journals, including SCOPUS and SCIE indexed journals. His research interest includes Wireless Sensor Networks, Soft Computing, Block chain, Machine Learning, IoT, Image Processing and Cyber security. He is involved in the review process of many SCI or SCIE indexed journals like IEEE, Springer, Wiley, Inderscience, etc. He is also the Editorial Board member of recognized journals and serving as a technical program committee member in reputed international conferences in India and abroad.

Sarbagya Ratna Shakya is working as an Assistant Professor at Eastern New Mexico University, New Mexico, USA. He received the B. Eng. in Electronics Engineering from National College of Engineering, Tribhuvan University of Nepal in 2009; M. Eng. in Computer Engineering from Nepal College of Information Technology, Pokhara University of Nepal in 2014. He has received his Ph. D in Computational Science (Computer Science) from the School of Computer Science and Computer Engineering, University of Southern Mississippi, USA. He has more than 10 years of teaching experience in undergraduate level courses. His research interest includes machine learning, deep learning, image processing, Internet of things and has published journals papers, conference papers, and book chapters in different domain on applications of machine learning and deep learning.

Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, and an expert evaluator for national and international projects and PhD theses.

Dettagli dell?edizione

• Editore: Elsevier
• Data di pubblicazione: 2025
• ISBN 10: 0443299277
• ISBN 13: 9780443299278
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 300
• Redattore: Jha
• Contatto del produttore: non disponibile