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April 20, 2026, 10:06 a.m.
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(Last updated: April 20, 2026, 10:06 a.m.)
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| ['Chaudhary S. Optical and Wireless Communications. Applications of ML and AI 2025.pdf'] | 0 bytes |
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NOTE
SOURCE: Chaudhary S. Optical and Wireless Communications. Applications of ML and AI 2025
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COVER
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MEDIAINFO
Textbook in PDF format 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. Optical and wireless communications are the two pillars of modern telecommunication networks, enabling the rapid and reliable transmission of data across the globe. Optical communication primarily relies on light waves to transmit information through optical fibers, providing high-speed, long-distance communication with minimal loss and interference. Since its inception in the 1970s, optical fiber technology has revolutionized the way data is transmitted, enabling the exponential growth of the internet, video streaming, and other data-intensive applications. Wireless communication, on the other hand, relies on radio frequency (RF) waves to transmit data over the air. This technology has evolved significantly since the advent of wireless telegraphy in the late 19th century, leading to the development of mobile telephony, Wi-Fi, satellite communication, and the latest 5G networks. Wireless communication offers the flexibility of mobility and has become indispensable in today’s connected world, enabling everything from smartphone connectivity to the Internet of Things (IoT). The combination of the optical with wireless has been vital in satisfying the continuous increment in the demand for bandwidth and connectivity. Optical is used in transmitting data at higher speed and to connect a location with other locations, which are required for the backbone of communication, while wireless technologies are used to deliver this connectivity to the customers. As a whole, these technologies are fundamental to today’s communication platforms for a multiplicity of applications ranging from casual internet browsing to essential mission operations. 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. Preface Introduction to Advances in Optical and Wireless Communication: Role of Machine Learning and AI A Study to Discuss the Potential of Mobile Network Optimization Using Machine Learning AI in Mobile Network Management and Performance Enhancement Application of Evolutionary Algorithms on Wireless Sensor Network Coverage Optimization: Comparative Study Fundamentals of Machine Learning in Communication Systems Cuckoo Search Optimizer Based on Aquila Exploration Strategy Semantic Segmentation: Techniques, Challenges, and Applications in Intelligent Transportation Systems Illuminate the Pathways of Moth Flame Optimization for Global Optimization: Applications in Signal Processing and AI for Optical Communication Systems Optical Communication and Signal Process with AI icrowave Photonic Radar: Introduction and Signal Processing Challenges
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