The Intersection of 6G, AI/Machine Learning, and Embedded Systems

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. 2. A Review on Spectrum Standardization for Wireless Networks: Past, Present and Future Advancements. 3. Converging Horizons: Synergies of 6G Wireless Communication, Machine Learning, and Embedded Systems for Intelligent Connectivity. 4. Edge Computing in IoT: Empowering the Internet of Things with Cloud Power for Intelligent Applications. 5. Experiment, Modelling, and Analysis of an RF WPT-Enabled Wireless Sensor Network for Industry 5.0. 6. Empowering Edge-Enabled Resource Efficient Collaborative Deep Learning over B5G/6G Networks. 7. Artificial Intelligence: A Gateway to the Twenty-First Century. Section II: Revolutionizing Connectivity: Smart Transit and Communication Management. 8. FSO and 5G/6G Convergence with Machine Learning: Revolutionized Communication Network. 9. Modernizing Transit: Intelligent Traffic and Transportation Management with Artificial Intelligence in the Era of 5G and 6G. 10. Bridging Domains with Artificial Intelligence and Machine Learning. 11. Artificial Intelligence, IOT, and Machine Learning Technologies Introduction in Various Domains. 12. Intelligent Transportation and Traffic Management. 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. 14. Design of an Efficient High-Trust Model for Improving Network Communication Consistency via Incremental Bioinspired Optimizations: HTMNCB. 15. Data Analytics and Automation for a Broadband Franchise. 16. Unlocking the Power of Machine Learning in Education: A Comprehensive Overview of Opportunities and Challenges. 17. Future-Proofing IoT Security: The Impact of Artificial Intelligence. 18. Data Analysis and Detection of Object Based on Hybrid Whale Optimisation Algorithm with Artificial Neural Network.