Generative Artificial Intelligence for Industry 5.0

Technology, Applications and Innovation
1. Auflage 2027
ISBN: 978-1-041-14670-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 368 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Computational Methods for Industrial Applications

This text shows how robotics, digital twin, and 4D printing technologies can be merged with generative artificial intelligence to provide intelligent and flexible automation in Industry 5.0. It discusses the advantages of using generative artificial intelligence in digital twins to provide real-time simulations and forecast insights for process optimization in the industry.

This book:

- Showcases a detailed view of how generative artificial intelligence can be composed with the industry 5.0 concept to produce more specialized and personalized product.

- Emphasizes how the Internet of Things and generative artificial intelligence can produce intelligent, interconnected systems that are able to make real-time decisions in manufacturing processes.

- Focuses on human-centric artificial intelligence systems to automate complex work and solve hard problems efficiently.

- Explores how operational dependability may be ensured by predictive analytics in the Internet of Things and artificial intelligence, which can detect equipment failures, minimize downtime, and enhance processes through continuous data monitoring and predictive algorithms.

- Discusses novel security algorithms and techniques, which guarantee the safety of critical industrial data and operations using Internet of Things and generative artificial intelligence by detecting and responding to assaults instantaneously.

It is written for senior undergraduate students, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, manufacturing and processing engineering, automotive engineering, and industrial engineering.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Srivastava, Rajeev

Gupta, Sakshi

Snigdh, Itu

Unhelkar, Bhuvan

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

1. Role of Artificial Intelligence in Smart Manufacturing. 2. Industrial Revolution to Industry 5.0. 3. Adaptive Large Language Models for Real-Time Human–Machine Communication Interfaces in Industry 5.0 Environments. 4. A Unified LLM Framework for Cybersecurity and Workflow Efficiency in Industry 5.0 Ecosystems. 5. AI-Driven Workplace Safety Monitoring: Integrating Generative AI and Computer Vision for Industry 5.0. 6. Graph-Based Multimodal Generative AI for Industrial Internet of Things (IIoT) Using GNNs and GATs. 7. Applications of Generative AI in Personalised Manufacturing and Mass Customisation. 8. Generative AI-Enabled Digital Twins and Smart Factory Simulations for Industry 5.0 Innovation. 9. Hyperspectral Imaging for Intelligent Document Analysis. 10. Security and Privacy in AI-Driven Industry 5.0. 11. Harnessing Industrial IoT (IIoT) with Generative AI (GenAI)Decision-Making: Case Studies for Smart Decision-Making for Industry 5.0. 12. Green AI-based Sustainability Enhancement in Indian Manufacturing for Digital India. 13. Green AI and Sustainable Manufacturing with Digital India. 14. Generative Industry 5.0 AI: Underwater Salient Object Detection Using a Biologically Inspired Contrastive Framework (BC-SOD). 15. Human-in-the-Loop Oil Spill Detection: A Generative AI-Enhanced Remote Sensing Workflow for Industry 5.0. 16. Case studies on Industrial IoT 5.0 and Gen AI.

Über Autor(innen)

Rajeev Srivastava is currently serving as the Director, IIIT Ranchi, Jharkhand on 16th May 2024. Prof. Rajeev Srivastava is a Professor in the Dept. of Computer Sc. & Engineering, Indian Institute of Technology (BHU), Varanasi and currently on deputation as Director, IIIT Ranchi. He possesses 26 years of teaching and research experience in various institutions of repute. He served in various administrative capacities at IIT (BHU), Varanasi like the Dean (Resource and Alumni Affairs) (Dec’2020-Dec’2023), Head of the Department of Computer Science and Engineering (August’2017-December’2020), Head of the Centre for Computing and Information Services (CCIS) (January’2021- Dec’2023), Head, CCIS (Ex-officio) (August’2017-December’ 2020) and Chairman of Various Committees (like Investment Committee, Departmental Promotion Committee, Computer Unit (CCIS) Establishment Committee, PhD Admission Committee etc.) apart from various other key responsibilities. He received his BE degree in Computer Engineering from Madan Mohan Malviya Engineering College, Gorakhpur (now MMMUT), University of Gorakhpur in 1996. Subsequently, he obtained his M.E. degree in Computer Technology and Applications from Delhi College of Engineering, University of Delhi and PhD in Computer Engineering from Faculty of Technology, University of Delhi, Delhi. He is a Fellow of Institution of Engineers (India) (FIE), Institution of Electronic and Telecommunication Engineers (FIETE), and Senior Member IEEE USA. He has published 200 research papers in reputed international journals/ conferences, 05 research reference books, 20 book chapters, edited one (01) conference proceedings and four patents (one granted and three published). He successfully executed research projects funded by MoE, Govt. of India and DRDO, Govt. of India. 17 PhD Scholars have been awarded their degrees under his supervision, and 06 PhD scholars are currently working under his Supervision. He serves as an Expert Member on different panels of various statutory bodies of Govt. of India like NBA, UGC, DRDO, UPPSC, UKPSC, BPSC, IITs, NITs, IIITs, Central/State universities and other reputed organizations. He is also the member of Senate, Academic Council, Board of Studies and Research committees of various Institutes/Universities. He is on the reviewer panel of many International Journals and Conferences. He is recipient of research publication awards by IIT (BHU) Global alumni association in 2010 and 2014 respectively. His biography was listed in Marquis Who’s Who in Science and Engineering, USA, 11th Edition, 2011-2012. His research interests are in the areas of Image and Video Processing, Computer Vision, Artificial Intelligence (AI), Machine Learning, Deep learning and Computational Bioinformatics.

Sakshi Gupta is presently working as an Assistant Professor at Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, in the School of Computer Applications. She possesses 9 years of teaching and research experience in various institutions of repute. She received her PhD degree from the Birla Institute of Technology Mesra, Ranchi, and her MCA from Gautam Buddha Technical University Lucknow, Uttar Pradesh. Her area of interest includes the Internet of Things, mobile ad-hoc networks, Body Area Networks, Machine learning, and Deep learning. She has published more than 16 referred journals, including SCI and Scopus-indexed journals, and in addition, he has published many conference papers and book chapters. She also has four published patents. She also works as a reviewer for many conferences and Springer journals. Dr. Sakshi has also attended various technical conferences/workshops/faculty development programmes.

Itu Snigdh is presently working as an Associate Professor at Birla Institute of Technology Mesra, Ranchi. Dr. Snigdh received her Ph. D. from B.I.T Mesra in the area of wireless sensor networks from the Department of Electronics and Communication Engineering. She received her master’s degree in (Software Engineering) from B.I.T Mesra (Ranchi), India in 2002 and her bachelor’s degree in electrical engineering from B.I.T Sindri, India in 2000. She joined BIT Mesra's Department of Computer Science and Engineering in 2003. She has authored and coauthored several journal articles, book chapters and conference papers. Her areas of interest include Cyber-physical systems, IoT, Software Engineering, Database Management Systems and Wireless Sensor Networks.

Bhuvan Unhelkar is currently working as Professor, Muma College of Business, University of South Florida, Sarasota-Manatee Campus, Florida, USA.