Artificial Intelligence, Blockchain, Computing and Security Volume 2 (eBook, ePUB)

Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023), Gr. Noida, UP, India, 24 - 25 February 2023
Redaktion: Dagur, Arvind; Shukla, Dhirendra Kumar; Mehra, Pawan Singh; Singh, Karan

• Format: ePub

Produktbeschreibung

This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 794
• Erscheinungstermin: 1. Dezember 2023
• Englisch
• ISBN-13: 9781003845874
• Artikelnr.: 69447752

Autorenporträt

Dr. Arvind Dagur is a Professor and Program Chair in the School of Computing Science and Engineering, Galgotias University, Greater Noida, India. He has more than 18 Years of experience in teaching and research. He completed his Ph.D. in Computer Engineering from Jamia Millia Islamia, New Delhi, M.Tech. in Computer Science and Engineering from MNNIT, Allahabad and B.Tech. (CSE) from UPTU, Lucknow in India. He has published 5 book chapters and more than 30 research papers in reputed international journals and conferences indexed in SCIE, Scopus, ESCI, Web of Science. He has been a reviewer and chaired many sessions in various conferences. Dr. Karan Singh is working with the School of Computer, Systems Sciences at Jawaharlal Nehru University, New Delhi. He is reviewer of several journals and conferences. He is an Editorial Board Member of Journal of Communications and Network (CN), USA. He published more than 100 research papers in journals and conferences indexed in SCIE, Scopus, ESCI, Web of Science. He was the General Chair of International conference (Qshine) in 2013 at Gautam Buddha University, and the Chair at the International Conference NetCrypt 2020 at JNU, New Delhi. He was nominated for Who's who in World in year 2008. Dr. Pawan Singh Mehra is an Assistant Professor in Delhi Technological University, New Delhi. He received his Ph.D. degree in Computer Engineering from Jamia Millia Islamia and M.Tech (Hons) in Computer Science and Engineering from Center for Development of Advanced Computing(CDAC). He completed Bachelor of Engineering from RJIT, Gwalior. He has about 12 years of teaching and research experience. He has qualified for UGC-NET and GATE multiple times. He has authored more than 30 publications in international conferences and journals indexed in SCIE, Scopus, ESCI, Web of Science. Currently his H-index and i-10 index is more than 12 with over 500 citations. He is Senior Member of IEEE, ACM and Life member of CSI and ISTE. He has published a book on the Internet of Things and edited a book for GATE. His research interests include Wireless Sensor Network, Internet of Things, Image processing, Cryptography and Network security and Quantum Computing. Dr. D. K. Shukla is as Associate Professor in the School of Computing Science and Engineering, Galgotias University, Greater Noida, India. He completed his M.Tech. (Computer Science and Engineering) and PhD from MNNIT, Allahabad. He has published more than 20 research articles in reputed journals and conferences.

Inhaltsangabe

Artificial Intelligence
Block Chain
Communications
General Track
Recent Advancements and challenges in Artificial Intelligence, Machine
Learning, Cyber security and Blockchain Technologies
Application of state-of-the-art blockchain and AI research in healthcare,
supply chain, e-governance etc.
Trends in Cloud Computing and Bigdata Analytics
Electronics and scientific computing to solve real-world problems
Security and Privacy in the Cloud Computing
Deep Learning and Machine Learning
Smart Intelligent Computing in Advanced Sectors (SICAS)
Sharing multimedia data using deep learning approaches
Deep Learning, AI and IOT for Computer Vision and BlockChain
Recent Trends in Artificial Intelligence, Machine Learning and IoT for
Healthcare
Recent Advances and Application Driven Machine Learning and Deep Learning
Techniques