Harnessing Generative AI

Disruptive Technologies for Innovative Applications
Herausgeber: Gayathri, N.; Pelusi, Danilo; Raj, Pethuru; Chandran, Ramesh; Kumar, S Rakesh

• Gebundenes Buch

Produktdetails

• Verlag: Wiley
• Seitenzahl: 310
• Erscheinungstermin: 11. Juni 2025
• Englisch
• ISBN-13: 9781394302901
• ISBN-10: 1394302908
• Artikelnr.: 71631438

Autorenporträt

N. Gayathri, Ph.D., is an assistant professor in the Department of Computer Science and Engineering, Gandhi Institute of Technology and Management (deemed to be university), Visakhapatnam, India. Her research interests include big data analytics, IoT, and networks. She has several publications to her credit in journals and has edited many books. S. Rakesh Kumar, Ph.D., works as an assistant professor in the Department of Computer Science and Engineering, Gandhi Institute of Technology and Management (deemed to be university) Visakhapatnam, India. His research interests include artificial intelligence and machine learning. He has several publications in journals, conference proceedings, and edited volumes. Ramesh Chandran, Ph.D., is an associate professor in the Department of Computer Science and Engineering, VIT Vellore, Vellore, Tamil Nadu, India. He has published, reputed, and presented a paper at national/international conferences. Pethuru Raj, Ph.D., is a chief architect at Reliance Jio Platforms Ltd. (JPL), Bangalore, India. Following his studies, he was granted international research fellowships to work as a research scientist in two leading Japanese universities. His research focuses on emerging technologies, such as the Internet of Things (IoT), artificial intelligence (AI), model optimization techniques, digital twins, etc. Danilo Pelusi, Ph.D., is an associate professor of computer science, Department of Communication Sciences, University of Teramo, Teramo, Italy. His research focuses on coding theory and artificial intelligence. Moreover, he is interested in signal processing, pattern recognition, fuzzy logic, neural networks, and genetic algorithms. He is a member of the Machine Intelligence Research Lab (MIR Labs).