1st Edition
The Intersection of 6G, AI/Machine Learning, and Embedded Systems Pioneering Intelligent Wireless Technologies
Section I: Synergies of AI/ML, Wireless Communication, IoT, and Embedded Systems
1. Convergence of 6G, Blockchain, and Intelligent Transportation Systems: Pioneering Next-Generation Traffic Management at Intersections
Rakhi Mutha and Pankaj Dadheech
2. A Review on Spectrum Standardization for Wireless Networks: Past, Present and Future Advancements
He Yigang, Farhan Ali, Cheng Weiding, Asif Ali, and Atta Rahman
3. Converging Horizons: Synergies of 6G Wireless Communication, Machine Learning, and Embedded Systems for Intelligent Connectivity
R. Siva Subramanian, T. Venkata Ramana, K. Venkata Ramana, S. Prabha, and V. Nivaskumar
4. Edge Computing in IoT: Empowering the Internet of Things with Cloud Power for Intelligent Applications
Debosree Ghosh, Soumya Baidya, and Animesh Sardar
5. Experiment, Modelling, and Analysis of an RF WPT-Enabled Wireless Sensor Network for Industry 5.0
Chandrima Thakur and Sudipta Chattopadhyay
6. Empowering Edge-Enabled Resource Efficient Collaborative Deep Learning over B5G/6G Networks
Shiplu Das, Abhishikta Bhattacharjee, Gargi Chakraborty, Romit Kumar Pal, and Debarun Joardar
7. Artificial Intelligence: A Gateway to the Twenty-First Century
Rahul Joshi, Krishna Pandey, Suman Kumari, and Rhythma Badola
Section II: Revolutionizing Connectivity: Smart Transit and Communication Management
8. FSO and 5G/6G Convergence with Machine Learning: Revolutionized Communication Network
Pradeep Kumar and Ruchi
9. Modernizing Transit: Intelligent Traffic and Transportation Management with Artificial Intelligence in the Era of 5G and 6G
Maira Khalid, Muhammad Awais, Chandroth Jisi, Manal Ahmad, and Byeong‑hee Roh
10. Bridging Domains with Artificial Intelligence and Machine Learning
Manal Ahmad, Maira Khalid, Ahmed Raza Mohsin, Fatima Riaz, and Byeong‑hee Roh
11. Artificial Intelligence, IOT, and Machine Learning Technologies Introduction in Various Domains
K. R. Padma and K. R. Don
12. Intelligent Transportation and Traffic Management
P. Sureshkumar, J. Niresh, S. Tamilselvi, and Baskar Duraisamy
Section III: Application of AI/ML, Wireless, IoT, and Embedded Systems
13. Ensuring Safety and Security in Control Area Network-Based Automotive Embedded Systems with Advanced Encryption Standard Method Using Cloud Technology
P. Blessington Praveen and K. Sivanantham
14. Design of an Efficient High-Trust Model for Improving Network Communication Consistency via Incremental Bioinspired Optimizations: HTMNCB
Pragati Narayan Patil and Atul D. Raut
15. Data Analytics and Automation for a Broadband Franchise
V. L. Helen Josephine, Kaushik Ramesh, and Delma Thaliyan
16. Unlocking the Power of Machine Learning in Education: A Comprehensive Overview of Opportunities and Challenges
Dhyani Panchal, Malav Champaneria, Aarav Agarwal, and Manan Shah
17. Future-Proofing IoT Security: The Impact of Artificial Intelligence
Amardeep Das and Nibedita Adhikari
18. Data Analysis and Detection of Object Based on Hybrid Whale Optimisation Algorithm with Artificial Neural Network
Deepa V
Biography
Shruti Sharma is a Research Scientist at Ajou University, working on AI/machine learning and 5G/6G wireless communication systems. She earned a PhD in Electrical and Computer Engineering at Ajou University, Korea. She holds a master’s degree in Electronics from Pt. Ravishankar Shukla University, India, and a Postgraduate Diploma in Computer Applications from Guru Ghasidas Vishwavidyalaya, India, along with a Diploma in Embedded Systems and Design from CDAC, Kolkata, India. Additionally, she has taught undergraduate and postgraduate science students for a couple of years at CMD P.G. Science College, Bilaspur, Chhattisgarh, India.
Ashutosh Sharma is an Associate Professor at the Department of Physics, Amity Institute of Applied Sciences in Amity University Jharkhand, Ranchi, India. Previously, he served as an Assistant Professor at Ajou University, South Korea. He has more than 11 years of research and teaching experience. He earned a PhD degree at IIT Kharagpur, India. His research focuses on electrochemical deposition, lead‑free soldering, AI in microelectronic packaging, additive manufacturing, high‑entropy alloys, and biomaterials. He has been recognized by the TMS Society, USA and has been ranked in the top 2% of scientists globally by Stanford University for the past three consecutive years.
Trinh Van Chien earned a BS in Electronics and Telecommunications in 2012 at the Hanoi University of Science and Technology (HUST), Vietnam. In 2014, he earned an MS in Electrical and Computer Engineering at Sungkyunkwan University, Korea, and in 2020, he earned a PhD in Communication Systems at Linkoping University, Sweden. He is with the School of Information and Communication Technology at the Hanoi University of Science and Technology, Vietnam.
