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Optical and Wireless Communications

Applications of Machine Learning and Artificial Intelligence

Sushank Chaudhary Amir Parnianifard Abhishek Sharma

$173

Hardback

Forthcoming
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English
CRC Press
09 May 2025
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.
Edited by:   , ,
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   640g
ISBN:   9781032751245
ISBN 10:   103275124X
Pages:   244
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Forthcoming
Table of Contents Editor Biographies Contributor Biographies 1. Introduction to Advances in Optical and Wireless Communication: Role of Machine Learning and AI Abhishek Sharma, Sushank Chaudhary and Amir Parnianifard 2. A Study to Discuss the Potential of Mobile Network Optimization using Machine Learning Geeta Arora, Jaya Gupta, Shubham Mishra 3. AI in Mobile Network Management and Performance Enhancement Avani Vyas and Shivani Sharma 4. Application of Evolutionary Algorithms on Wireless Sensor Network Coverage Optimization: Comparative Study Amir Parnianifard, Abhishek Sharma, Sushank Chaudhary 5. Fundamentals of Machine Learning in Communication Systems Shivani Sharma and Avani Vyas 6. Cuckoo Search Optimizer based on Aquila Exploration Strategy Megha Varshney, Pravesh Kumar, Pinkey Chauhan and Geeta Arora 7. Semantic Communication for High-Quality Image Transmission Nouman Latif, Muhammad Saadi and Demostenes Zegarra Rodriguez 8. Illuminate the Pathways of Moth Flame Optimization for Global Optimization Srushti M P , Saanvi Ravi , Pushkar V , Samjith T S , Samarth V Gangadikar and Divya C D 9. Optical Communication and Signal Processing with AI Sonam Gour, Priya Chaudhary and Amit Rath 10. Microwave Photonic Radar: Introduction and Signal Processing Challenges Hum Nath Parajuli

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 Sklodowska-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(R) 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.

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