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.
Language
Place of publication
Publishing group
Target group
Professional and scholarly
Academic and Professional Reference
Illustrations
49 s/w Abbildungen, 34 s/w Photographien bzw. Rasterbilder, 15 s/w Zeichnungen, 16 s/w Tabellen
16 Tables, black and white; 15 Line drawings, black and white; 34 Halftones, black and white; 49 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 19 mm
Weight
ISBN-13
978-1-032-75124-5 (9781032751245)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
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
