Shilpa Mehta – författare

This edited book distinguishes itself by providing an in-depth exploration of recent keywords such as photonic crystals, quantum key distribution, and heterogeneous integration. By bridging the gap left by existing literature, the book offers a holistic perspective on optical sensing technologies and distributed sensing networks. It delves into challenges and future directions, particularly focusing on the burgeoning field of quantum sensing technologies. It will provide a thorough examination of innovative techniques, emerging trends, and real-world applications in the field. The book will bring together leading experts and researchers to contribute chapters that cover a wide range of topics, from fundamental principles to cutting-edge advancements. Tailored for researchers, academics, and professionals in the realms of optics, photonics, sensor networks, and related disciplines, this book accommodates a diverse audience. It caters to those seeking foundational knowledge as well as experienced practitioners looking to stay abreast of advanced techniques. With a specific emphasis on wireless sensor networks, environmental monitoring, and applications in opto-electronic materials, this book addresses the interdisciplinary nature of modern sensing technologies.

Secure your expertise in the next frontier of wireless technology with this essential book, which provides a deep dive into the integration of machine learning and quantum computing to build the necessary infrastructure for 6G communication networks. Despite the potential benefits of 6G, the technology to enable its realization is not yet available. As a result, the development of technology to solve these challenges must be met before we can start working towards 6G. The primary applications of machine learning within 6G are to create necessary infrastructure advantages as the technology matures. Additionally, 6G communication networks use quantum computing to detect, mitigate, and prevent security vulnerabilities. By integrating machine learning and quantum computing into 5G and 6G technology, intelligent base stations will be able to make decisions for themselves, and mobile devices will be able to create dynamically adaptable clusters based on learned data. This book highlights the role of real-time network learning and the integration of quantum computing, machine learning, and quantum machine learning to enhance service quality. It provides a deep dive into the interplay of these technologies within 6G networks, starting from 5G fundamentals. The book elaborates on how these advanced technologies will underpin 6G’s architecture to meet comprehensive service demands, including those for smart city applications requiring extensive coverage, ultra-low latency, and reliable connectivity. The book details how the synergy between quantum computing, machine learning, and 6G technologies will transform communications, revolutionize markets, and enable groundbreaking applications globally. Readers will find the volume: Explores real-world scenarios for illustrating the integration of quantum computing and machine learning in 6G;Covers an extensive range of applications to illustrate the full picture of 6G that implements machine learning and quantum computing approaches;Offers expert insights through a comprehensive collection of literature reviews and research articles;Introduces the interdisciplinary innovations and potential of 6G across multiple industries.Audience Scientists, industry professionals, researchers, academicians, instructors, and students working in quantum computing and machine learning, especially in the context of advanced wireless communication technology.

This book explores interdisciplinary technological advancements in smart cities. The book begins with a comprehensive study of smart cities, followed by their benefits and shortcomings. The authors show how, with the help of digital technology, cities are becoming more sustainable and efficient, leading to a better quality of life. The book includes a comprehensive review of literature, research works, and case studies, which are presented to demonstrate how various technologies can be integrated into smart cities. The book includes scenarios in smart agriculture, smart transportation, smart healthcare and more. This book also offers researchers, students, academicians, and professionals working in this field an extensive range of smart city applications.