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Simulation Techniques of Digital Twin in Real-Time Applications -

Simulation Techniques of Digital Twin in Real-Time Applications

Design Modeling and Implementation
Buch | Hardcover
380 Seiten
2025
John Wiley & Sons Inc (Verlag)
978-1-394-25697-6 (ISBN)
CHF 269,95 inkl. MwSt
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This research book concentrates on enhancing digital twin technologies and how they may be the next big step in sustainable and industrial sectors. It contains a significant number of research articles on various techniques, solutions, and real-time strategies to implement a better understanding of digital twin technology. Furthermore, it emphasizes how this technology improves the capability to receive real-time data and produce data pools of original objects.

 

‘Simulation Techniques’ is split into two parts. Part 1 is ‘A Guide to Simulated Techniques in Digital Twins’ while part 2 investigates ‘Real Time Applications of Digital Twins.’ In the pages of this book, topics about twin models, various signaling methods, and integrated deep learning in digital twins are discussed in advanced detail. Results from the research demonstrate that simulation uses certain preventive measures in accessing data.

Abhineet Anand is a director at Chandigarh University, Punjab, India. His research focuses on cloud computing, load balancing, and clustering. He has published in several international and national journals and contributes to various conferences as a technical program committee member.   Anita Sardana is an associate professor at Chandigarh University, Punjab, India. Her research includes patent searching, prosecution, and licensing for India and US jurisdictions. Sardana has published 18 research papers at national and international conferences. Her design patent was granted in 2023. She was awarded a Woman Scientist by the Department of Science and Technology by TIFAC.   Abhishek Kumar is an associate professor in the Computer Science & Engineering Department at Chandigarh University, Punjab, India. His research areas include artificial intelligence, renewable energy, image processing, and machine learning. In total, he has more than 100 publications in peer-reviewed journals. Kumar is a keynote speaker and a member of various national and international societies in the field of engineering and research. He was awarded the CV Ramen National Award in 2018 in the young researcher and faculty category.   Srikanta Kumar Mohapatra is an associate professor at Chitkara University, Institute of Engineering and Technology, Punjab, India. His research focuses on artificial intelligence, machine learning, and computational nanotech. Along with publishing 3 books and several research articles, Mohapatra is a member of the editorial board of publishing houses.   Shikha Gupta, PhD.,  is a professor in computer science at Chandigarh University, Punjab, India. She has a PhD degree from TMU Moradabad. Her research interests focus on data analytics, artificial intelligence, data mining, and machine learning. She has published a variety of papers in national and international journals and has authored books in computer science domains.

Erscheint lt. Verlag 4.6.2025
Verlagsort New York
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Grafik / Design
Technik Elektrotechnik / Energietechnik
ISBN-10 1-394-25697-3 / 1394256973
ISBN-13 978-1-394-25697-6 / 9781394256976
Zustand Neuware
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