The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases: Volume 117. This item is unavailable.The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases: Volume 117

The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters vividly illustrate how the emerging discipline of digital twin is strategically contributing to various digital transformation initiatives. Specific chapters cover Demystifying the Digital Twin Paradigm, Digital Twin Technology for "Smarter Manufacturing", The Fog Computing/ Edge Computing to leverage Digital Twin, The industry use cases for the Digital Twin idea, Enabling Digital Twin at the Edge, The Industrial Internet of Things (IIOT), and much more.

• Provides in-depth descriptions of digital transformation technologies and tools
• Covers various research accomplishments in this flourishing field of relevance
• Includes many detailed industry use cases with all the right information

Pethuru Raj, PhD, is the principal AI architect at Infocion Inc., Bangalore. Previously, he worked as the vice president and chief architect at the AI division of Reliance Jio Platforms Ltd., Bangalore, IBM Global Cloud Centre of Excellence, Wipro Consulting Services, and Robert Bosch Corporate Research. He has over 25 years of experience in the IT industry and 9 years of research experience. He completed the CSIR-sponsored PhD at Anna University, Chennai. He conducted UGC-sponsored postdoctoral research in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore. He focuses on emerging technologies, including Generative and Agentic AI, AI Model Optimization Techniques, Cloud of Things, Cloud-native and Edge Computing Paradigms, Platform Engineering, 6G Communication, and Blockchain Technologies, as well as Quantum-safe Cryptography Algorithms. He has authored and edited over 75 technology books, published more than 60 research papers, and contributed to more than 55 book chapters.

Dr. Preetha Evangeline David is currently working as an Associate Professor and Head of the Department in the Department of Artificial Intelligence and Machine Learning at Chennai Institute of Technology, Chennai, India. She holds a PhD from Anna University, Chennai in the area of Cloud Computing. She has published many research papers and Patents focusing on Artificial Intelligence, Digital Twin Technology, High Performance Computing, Computational Intelligence and Data Structures. She is currently working on Multi-disciplinary areas in collaboration with other technologies to solve socially relevant challenges and provide solutions to human problems.