Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2

Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2

Author: Mohammed Atiquzzaman

Publisher: Springer Nature

Published: 2023-03-31

Total Pages: 749

ISBN-13: 9819911575

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This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made 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 its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.


Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2

Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2

Author: Mohammed Atiquzzaman

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9789819911585

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This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference held in Bangkok, Thailand, on December 16-17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made 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 its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.


Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1

Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1

Author: Mohammed Atiquzzaman

Publisher: Springer Nature

Published: 2023-07-04

Total Pages: 823

ISBN-13: 9819908809

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This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made 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 its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.


2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City

2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City

Author: Mohammed Atiquzzaman

Publisher: Springer Nature

Published: 2022-01-01

Total Pages: 1157

ISBN-13: 9811674698

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This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. 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.


2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City

2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City

Author: Mohammed Atiquzzaman

Publisher: Springer Nature

Published: 2021-12-09

Total Pages: 1314

ISBN-13: 9811674663

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This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. 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.


Big Data Analytics for Cyber-Physical System in Smart City

Big Data Analytics for Cyber-Physical System in Smart City

Author: Mohammed Atiquzzaman

Publisher: Springer Nature

Published: 2020-12-17

Total Pages: 1868

ISBN-13: 9813345721

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This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28–29 December 2020. 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.


Research and Innovation Forum 2023

Research and Innovation Forum 2023

Author: Anna Visvizi

Publisher: Springer Nature

Published: 2024-01-01

Total Pages: 798

ISBN-13: 3031447212

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This book features research presented and discussed during the Research & Innovation Forum (Rii Forum) 2023. As such, this book offers a unique insight into emerging topics, issues and developments pertinent to the fields of technology, innovation and education and their social impact. Papers included in this book apply inter- and multi-disciplinary approaches to query such issues as technology-enhanced teaching and learning, smart cities, information systems, cognitive computing and social networking. What brings these threads of the discussion together is the question of how advances in computer science—which are otherwise largely incomprehensible to researchers from other fields—can be effectively translated and capitalized on so as to make them beneficial for society as a whole. In this context, Rii Forum and Rii Forum proceedings offer an essential venue where diverse stakeholders, including academics, the think tank sector and decision-makers, can engage in a meaningful dialogue with a view to improving the applicability of advances in computer science.


Big Data Analytics for Cyber-Physical Systems

Big Data Analytics for Cyber-Physical Systems

Author: Shiyan Hu

Publisher: Springer Nature

Published: 2020-06-25

Total Pages: 273

ISBN-13: 303043494X

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This book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components. The book first discusses some fundamental big data problems and solutions in large scale distributed CPSs. The book then addresses the design and control challenges in multiple CPS domains such as vehicular system, smart city, smart building, and digital microfluidic biochips. This book also presents the recent advances and trends in the maritime simulation system and the flood defence system.


Big Data Analytics for Cyber-Physical System in Smart City

Big Data Analytics for Cyber-Physical System in Smart City

Author: Mohammed Atiquzzaman

Publisher: Springer Nature

Published: 2020-01-11

Total Pages: 2049

ISBN-13: 9811525684

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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.


Big Data Management and Analysis for Cyber Physical Systems

Big Data Management and Analysis for Cyber Physical Systems

Author: Loon Ching Tang

Publisher: Springer Nature

Published: 2022-09-23

Total Pages: 208

ISBN-13: 3031175484

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This book consists of selected and peer-reviewed papers presented at 2022 4th International Conference on Big Data Engineering and Technology (BDET), held during April 22–24, 2022, in Singapore. As IT infrastructure and data management technologies have become critical assets and capabilities for today’s enterprises, this book aims to be part of the effort in contributing to their development. In particular, the BDET conference series aims to provide the much needed forum for researchers and practitioners across the world who are actively engaged in advancing research and raising awareness of the many challenges in the diverse field of big data engineering and technology to share their research outcomes and bounce ideas off their international colleagues. Over the last few years, the conference series has brought together the latest developments of novel theory in big data, algorithm and applications, emerging standards for big data, big data infrastructure, MapReduce and cloud computing, big data visualization, big data curation and management, big data semantics, scientific discovery and intelligence, which collectively form parts of the cyber-physical systems of interest. It is hoped that the book will prove useful to students, researchers, and professionals working in the field of big data engineering and applications in cyber-physical systems.