This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019.
The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019.
The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
Discusses the use of information technology for the multidimensional development of smart cities Demonstrates the application of Internet of Things in simulating urban operations for smart cities Highlights the advances made in Cyber-Physical Systems (CPS) as multidimensional and complex systems in a comprehensive calculation, network, and physical environment
Mohammed Atiquzzaman
Big Data Analytics Cyber-Physical System (CPS) Smart City Machine Learning BDCPS-2019 Internet of Things (IoT) Network Intelligence Intelligent Sensor Placement Object-Linked Information Integration Multidimensional Complex System