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This edited volume presents the application of machine learning and artificial intelligence to optical and wireless systems in a cohesive manner to enable readers to access and comprehend the latest advances. A vital resource for professionals and researchers in the fields of electrical and computer engineering, and computer science.
Sushank Chaudhary is an Associate Professor at Guangdong University of Petrochemical Technology. With over 100 publications, he received the Elite Talent Award (2019) and Marie Sk-odowska-Curie Seal of Excellence (2023). His research covers photonic radars, free-space optics, autonomous vehicles, and digital twins. Amir Parnianifard is an Assistant Professor at the University of Glasgow and UESTC. Ph.D. in Industrial Engineering, with research in computational intelligence and optimization. Senior IEEE Member, PMP® certified, he has over a decade of industry experience and serves as a reviewer for international journals. Abhishek Sharma is Faculty member at NIT Hamirpur. Ph.D. in Electronics Technology, GNDU. His research focuses on photonic radars, VLC, and FSO. Awarded the C2F Postdoctoral Fellowship (2024), he has over 50 publications, 1031 citations, and an H-index of 20.
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
