Artificial Intelligence and Technologies

Select Proceedings of ICRTAC-AIT 2020

Rajeev R. Raje, Farookh Hussain, R. Jagadeesh Kannan (Herausgeber)

Buch | Softcover

671 Seiten

2022 | 1st ed. 2022
Springer Verlag, Singapore
978-981-16-6450-2 (ISBN)

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This book constitutes refereed proceedings of the 3rd International Conference on Recent Trends in Advanced Computing - Artificial Intelligence and Technologies. This book covers a wide range of topics—vision, analytics, robotics, networking, health care, current pandemic issues of COVID-19, and cutting-edge technologies connected to cybersecurity in digital manufacturing and Industry 4.0. The contents of this book will be useful to researchers from industry and academia. The volume includes novel contributions and the latest developments from researchers across industry and academia. The book will serve as a valuable reference resource for academics and researchers across the globe.

Rajeev R. Raje is a Professor in the Department of Computer and Information Science (CIS) and is an Associate Dean in the School of Science at Indiana University-Purdue University Indianapolis (IUPUI). Dr. Raje’s research interests are in distributed and service-oriented software systems, programming languages, and software engineering. Dr. Raje has authored over 140 publications. Dr. Raje is a Senior Member of the ACM and IEEE, and he also co-directs the software engineering and distributed systems group in the CIS department. Farookh Hussain is a Professor in the School of Computer Science, University of Technology, Sydney, Australia, and is currently serving as Head of Software Engineering. Dr. Hussain is an Associate Member of the Advanced Analytics Institute and a Core Member of the Australian Artiﬁcial Intelligence Institute. He has written various books and chapters and has published widely in journals too. Dr. Hussain has over 500 papers in various international journals and conferences. He has completed over 50 funded projects for the government and various private organizations. R. Jagadeesh Kannan is Professor and Dean of the School of Computer Science and Engineering at Vellore Institute of Technology, India. He completed his Ph.D. in Handwritten Character Recognition using Hybrid Techniques from Anna University, Chennai, India. He got his M.E. degree in Computer Science and Engineering from National Engineering College, Tamil Nadu, and B.E. in Instrumentation and Control Engineering from Madurai Kamaraj University, Tamil Nadu, India. Prof. Kannan has over 18 years of teaching and industrial experience in reputed organizations. Prof. Kannan has got several publications inconference proceedings and journals of national and international repute. His research interests are neural networks, fuzzy logic, neuro-fuzzy systems, soft computing tools, pattern recognition, natural language processing, image processing, networking, printed, handwritten and cursive character recognition, and artiﬁcial intelligence.

Theme 1 - Vision.- Theme 2- Analytics.- Theme 3 - Robotics.- Theme 4 - Networking.- Theme 5 – Health Care and Analytics for COVID -19 Issues, Challenges and its Solutions.

Erscheinungsdatum	21.12.2022
Reihe/Serie	Lecture Notes in Electrical Engineering ; 806
Zusatzinfo	215 Illustrations, color; 142 Illustrations, black and white; XI, 671 p. 357 illus., 215 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Informatik ► Weitere Themen ► Hardware
Schlagworte	AI-Optimized Hardware • biometrics • decision management • Deep learning • machine learning • Natural Language Generation • Robotic Processes Automation • Speech Recognition • Text Analytics & NLP (Natural Language Processing) • Virtual Agents
ISBN-10	981-16-6450-1 / 9811664501
ISBN-13	978-981-16-6450-2 / 9789811664502
Zustand	Neuware