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Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2: BDCPS 2022, December 16-17, 2022, Bangkok, Thailand

Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2: BDCPS 2022, December 16-17, 2022, Bangkok, Thailand

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  • More about Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2: BDCPS 2022, December 16-17, 2022, Bangkok, Thailand

This book summarizes the peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, covering advances and challenges in big data analytics for data-driven co-design of communication, computing, and control in smart cities.

Format: Paperback / softback
Length: 733 pages
Publication date: 01 April 2023
Publisher: Springer Verlag, Singapore


This book is a compilation of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, which took place in Bangkok, Thailand, from December 16 to 17. The contributions, prepared by an international team of scientists and engineers, cover the latest advancements and challenges in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given the broad scope of the topic, this book serves as a valuable resource for researchers and professionals interested in big data, smart cities, and cyber-physical systems.

The first section of the book provides an overview of the current state-of-the-art in big data analytics for smart cities. It discusses the key challenges and opportunities that arise from the massive amounts of data generated by various smart city components, such as sensors, cameras, and traffic management systems. The authors highlight the importance of developing efficient and scalable analytics algorithms that can handle large-scale data processing and extract valuable insights.

The second section focuses on specific applications of big data analytics in smart cities. The papers explore how big data can be used to improve urban transportation, energy efficiency, public health, and environmental sustainability. For example, one paper discusses the use of machine learning algorithms to optimize traffic flow and reduce congestion, while another paper explores the potential of big data analytics to predict and prevent disease outbreaks in urban areas.

The third section of the book examines the ethical and privacy concerns associated with the use of big data in smart cities. The authors discuss the challenges of protecting sensitive personal information and ensuring that data is used responsibly and transparently. They also explore the role of regulations and policies in shaping the development and implementation of big data analytics in smart cities.

The final section of the book provides insights into the future directions of big data analytics for smart cities. The authors discuss the emerging trends and technologies that will shape the future of this field, such as artificial intelligence, blockchain, and the Internet of Things. They also discuss the challenges and opportunities that arise from these trends, such as the need for interdisciplinary collaboration and the potential for increased privacy and security risks.

In conclusion, this book offers a comprehensive and up-to-date overview of the latest advances and challenges in big data analytics for smart cities. It provides valuable insights for researchers, professionals, and policymakers interested in developing and implementing data-driven solutions for smart cities. The contributions, prepared by an international team of experts, cover a wide range of topics and provide a deep understanding of the potential of big data to transform the way we live and work in urban environments.

Weight: 1133g
Dimension: 235 x 155 (mm)
ISBN-13: 9789819911561
Edition number: 1st ed. 2023

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