Artificial Intelligence for a Sustainable Industry 4.0, 1st ed. 2021

Coordinators: Awasthi Shashank, Travieso-González Carlos M., Sanyal Goutam, Kumar Singh Dinesh

Language: English

147.69 €

In Print (Delivery period: 15 days).

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Artificial Intelligence for a Sustainable Industry 4.0
Publication date:
307 p. · 15.5x23.5 cm · Paperback

147.69 €

In Print (Delivery period: 15 days).

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Artificial Intelligence for a Sustainable Industry 4.0
Publication date:
307 p. · 15.5x23.5 cm · Hardback
This book outlines the recent advancements in the field of artificial intelligence (AI) and addresses how useful it is in achieving truly sustainable solutions. The book also serves as a useful reference literature in developing sustainable engineering solutions to various social and techno-commercial issues of global significance. This book is organized into two sections: section 1 is focused on fundamentals and principles of AI to lay the groundwork for the second section. Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities. Applications include waste minimization, re-manufacturing, reuse and recycling technologies using IoT/AI, Industry 4.0, intelligent and smart grid systems, energy conservation using technology, and robotic process automation (RPA). The book is ideal for the engineers, researchers and students interested in how AI can aid in sustainable development applications.

Introduction.- Artificial Intelligence in Healthcare.- IoT for Modern Life.- Artificial Intelligence in Multimedia Technology.- Artificial Intelligence in Security and Surveillance.- Artificial Intelligence in Big Data Analytics.- Communication Technologies.- Machine Learning and Computing.- Optimizations using Deep learning.- Engineering design for sustainable development using IOT/AI.- Intelligent and Smart Grid Systems.- Energy conservation using AI Technology.- Smart Cities.- Industry 4.0.- Robotic Process Automation.- Conclusion.

Dr. Goutam Sanyal:  Received B.Tech and M.Tech from National Institute of Technology (NIT), Durgapur, and Ph.D (Engg.) Jadavpur University, Kolkata, in Robot Manipulator Path Planning. He possesses an experience of more than 35 years in the field of teaching, research and administration. He has published more than 180 papers in International Journals and Conferences. He has guided 19 Ph.D scholars in Computer Science & Engineering Department in the area of Steganography, Wireless Sensor Network, Computer Vision, Natural language Processing. He has guided more than 40 PG and 300 UG theses. He has written a book in Computer Graphics and Multimedia and 8 Book chapters. He is a reviewer of reputed Journals (IET, ELSIEVER, SPRINGER, INDER SCIENCE and Transactions) and Conferences. He has filed one patent and delivered lecture and Session Chaired in Internal Conferences. He is teaching the following subject to UG and PG students: Computer Graphics, Computer Vision, Image processing, VLSI, Computer Architecture. He visited abroad for research collaboration in University of New Castle and Cranfield in UK and NUS, Singapore. He is serving as PhD thesis examiner of VTU, JNTU, OSMANIA University, Anna University, RPTU Bhopal and NITs. He has served as expert member of faculty selection of NITs, and other Universities. He has wide experience in working with different accreditation bodies. He has served as Dean (AA & RG), Dean (Students’ Welfare) and Dean (Faculty Welfare) in NIT Durgapur nearly 10 years and at present working as a Professor & Head of the Department of Computer Science & Engineering. He is a regular Member of IEEE, Life Member of CSI and Fellow of IEI. Dr Sanyal received national awards and his Biography has been selected for inclusion in Marquis Who's Who in the World 2016, 2017, 2018 Edition.

 

Carlos M. Travieso-González : received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), S

Discusses artificial intelligence for sustainable solutions

Features applications such as waste minimization, re-manufacturing, reuse and recycling, and robotic process automation

Pertinent to researchers, academics, professionals, and students interested in AI solutions for sustainable development