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Full Description
This edited volume brings together diverse perspectives on machine learning and AI applications in optical and wireless systems, offering a structured and comprehensive resource for researchers and professionals. It explores advancements driven by 5G, IoT, and the increasing demand for high-speed, reliable communication. Covering optical fiber systems, wireless networks, and AI-driven optimizations, the book provides insights into real-world applications impacting telecommunications, healthcare, and transportation.
The contributing authors discuss key topics such as signal processing techniques, optimization algorithms, and deep learning models applied to optical and wireless networks. The volume also highlights emerging challenges, security concerns, and future trends in AI-powered communication systems. This resource is essential for professionals in electrical and computer engineering, telecommunications, and computer science, helping them stay ahead in these rapidly evolving technologies.
Contents
1. Introduction to Advances in Optical and Wireless Communication: Role of Machine Learning and AI, 2. A Study to Discuss the Potential of Mobile Network Optimization Using Machine Learning, 3. AI in Mobile Network Management and Performance Enhancement, 4. Application of Evolutionary Algorithms on Wireless Sensor Network Coverage Optimization: Comparative Study, 5. Fundamentals of Machine Learning in Communication Systems, 6. Cuckoo Search Optimizer Based on Aquila Exploration Strategy, 7. Semantic Segmentation: Techniques, Challenges, and Applications in Intelligent Transportation Systems, 8. Illuminate the Pathways of Moth Flame Optimization for Global Optimization: Applications in Signal Processing and AI for Optical Communication Systems, 9. Optical Communication and Signal Process with AI, 10. Microwave Photonic Radar: Introduction and Signal Processing Challenges
