Optical and Wireless Communications - Applications of Machine Learning and Artificial Intelligence

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.

List of contents

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
10. Microwave Photonic Radar: Introduction and Signal Processing Challenges
Hum Nath Parajuli

About the author

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 Skłodowska-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.

Summary

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.

Product details

• Authors: Sushank Parnianifard Chaudhary
• Assisted by: Sushank Chaudhary (Editor), Amir Parnianifard (Editor), Abhishek Sharma (Editor), Sharma Abhishek (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 10.04.2025, delayed
• EAN: 9781032751245
• ISBN: 978-1-0-3275124-5
• No. of pages: 244
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Artificial Intelligence, TECHNOLOGY & ENGINEERING / Signals & Signal Processing, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Mobile & Wireless Communications, Electrical Engineering, Information technology: general issues, Automatic control engineering, Computer architecture & logic design, Computer networking & communications, Information technology: general topics, Computer architecture and logic design, WAP (wireless) technology, COMPUTERS / Data Science / Machine Learning, Computer networking and communications