Intelligent Computing and Communication Techniques

This book contains a prolific compilation of research papers presented at the International Conference on Intelligent Computing and Communication Techniques (ICICCT 2024). Some of its key features include: - In-depth coverage of artificial intelligence, blockchain, and their role in enhancing smart living and security, with a focus on intelligent computing. - Depiction of detailed system models and architecture to illustrate the practical applications of AI. - Discussion on the role of AI and blockchain in banking, healthcare, navigation, communication, security, etc. - Analysis of the challenges and opportunities presented by intelligent computing, communication techniques and blockchain in healthcare, education, banking and related industries. It is designed for academics, researchers, students, and professionals seeking to expand their knowledge and engage with current research on artificial intelligence, secure transactions, real-time monitoring, and security.

Arvind Dagur is a Professor and Program Chair in school of Computing Science and Engineering, Galgotias University, Greater Noida, India. He previously worked as a Professor in Department of Computer Science and Engineering, KEC (KIET Group) Ghaziabad. He has more than 18 years of experience in teaching and research. He completed Ph.D. (Computer Engineering) from Jamia Millia Islamia, New Delhi, India (A Central University), M.Tech. (Computer Science and Engineering) from MNNIT, Allahabad, India and B.Tech. (CSE) from UPTU, Lucknow. He has published more than 30 research papers in reputed international journals and conferences, and 5 book chapters. Karan Singh is an Assistant Professor at the School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi. He is reviewer of several international journals and an Editorial Board Member of Journal of Communications and Network (CN), USA. He published over 100 research papers in journals and conferences. 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 has 12 years of teaching and research experience. He has authored more than 30 publications in International conferences and journals. Currently his H-index and i-10 index is more than 12, with more than 500 citations. His research interests include Wireless Sensor Network, Internet of Things, Image processing, Cryptography and Network security & Quantum Computing. Dhirendra Kumar Shukla is an Associate Professor in 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.

. Intelligent Communication Technologies . Intelligent Computing Techniques . Wireless Networks and Related Techniques . Blockchain Computing and Applications . Evolutionary Computation, AI, Security and Privacy Techniques. . AI and ML: Cross-Disciplinary Insights and Innovations . Cyber and Information Security . Advancement and challenges in Fog Computing, Cloud Computing & Blockchain technologies. . Emerging Applications of Artificial Intelligence, Machine Learning and Big Data Analytics . Intelligent Machines and Computational System Engineering . Explainable AI: Enhancing Models and Interpretability through Advanced Computing Techniques . Intelligent Computing for Sustainable Development and Global Challenges . Edge Computing for Smart and Secure Communication Technologies . Innovative Trends and Challenges in Data Science, Big Data Analytics and Blockchain . Smart Environmental Monitoring Systems IoT-enabled Environmental Sensing and Data Collection . AI for Business Models and Sustainable Computing Practices . Intelligent Computing for Environmental Pollution monitoring and management . Advanced Data Science and machine learning in Cutting-Edge Applications