Smart Trends in Computing and Communications (eBook, PDF)

Proceedings of SmartCom 2024, Volume 3
Redaktion: Senjyu, Tomonobu; Joshi, Amit; So-In, Chakchai

• Format: PDF

Produktbeschreibung

This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 519
• Erscheinungstermin: 1. Juni 2024
• Englisch
• ISBN-13: 9789819713264
• Artikelnr.: 70882048

Autorenporträt

Prof. Tomonobu Senjyu received his B.S. and M.S. degrees in Electrical Engineering from the University of the Ryukyus, Nishihara, Japan, in 1986 and 1988, respectively, and his Ph.D. in Electrical Engineering from Nagoya University, Japan, in 1994. He is currently Full Professor at the Department of Electrical and Electronics Engineering, University of the Ryukyus. His research interests include renewable energy, power system optimization and operation, power electronics, and advanced control of electrical machines. Prof. Chakchai So-In has been with the Department of Computer Science at Khon Kaen University since 2010. He received his B.E. and M.E. degrees from Kasetsart University (KU), Bangkok, Thailand, in 1999 and 2001, respectively. He also completed M.S. and Ph.D. degrees in Computer Engineering at the Department of Computer Science and Engineering, Washington University, in St. Louis (WUSTL), MO, USA, in 2006 and 2010. He has authored more than 100 publications in prominent journals and proceedings, together with 10 books. His research interests include mobile computing/sensor networks, Internet of Things, computer/wireless/distributed networks, cyber security, intelligent systems, and the future Internet. He is Senior Member of the IEEE and ACM.  Dr. Amit Joshi is currently Director of Global Knowledge Research Foundation, also Entrepreneur Researcher who has completed his Masters' and research in the areas of cloud computing and cryptography in medical imaging. He has an experience of around 10 years in academic and industry in prestigious organizations. He is Active Member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA, and many other professional societies. Currently, he is International Chair of InterYIT at International Federation of Information Processing (IFIP, Austria), He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. He has also edited more than 40 books which are published by Springer, ACM and other reputed publishers. He has also organized more than 50 national and international conferences and programs in association with ACM, Springer, IEEE to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt, and many more.

Inhaltsangabe

Chapter 1: A Comprehensive Analysis of Machine Learning Models for IDS.- Chapter 2: An Overview of Artificial Intelligence Applications in Cyber Security Domains.- Chapter 3: Enhancing Security in Wireless Communications through Blockchain and Smart Contracts: A Comprehensive Study.- Chapter 4: Racist And Abusive Memes Classification Using Deep Learning Techniques.- Chapter 5: Comparative study of learning effectiveness across NEPs on network fault correlation.- Chapter 6: Securing Networks: A Machine Learning Approach to Intrusion Detection Systems.- Chapter 7: NL2Code: Harnessing Transformers for Automatic Code Generation from Natural Language Descriptions.- Chapter 8: A Comprehensive Survey and Future Standpoints on Big Data Analytics of Mobile Data.- Chapter 9: An approach to detect violations of Social Distancing norms in the public domain.- Chapter 10: AI Art Authenticator: Deep Learning Image Classification. etc.