2021 International Conference On Big Data Analytics For Cyber Physical System In Smart City


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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

language: en

Publisher: Springer Nature

Release Date: 2021-12-09


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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

language: en

Publisher: Springer Nature

Release Date: 2022-01-01


DOWNLOAD





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.

Proceedings of the 4th International Conference on Management Science and Software Engineering (ICMSSE 2024)


Proceedings of the 4th International Conference on Management Science and Software Engineering (ICMSSE 2024)

Author: Kun Zhang

language: en

Publisher: Springer Nature

Release Date: 2024-10-26


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This is an open access book. About ICMSSE 2024 2024 International Conference on Management Science and Software Engineering **Introduction** In an era where the complex interplay between management science and software engineering is increasingly becoming the backbone of modern organizational agility, innovation, and competitive advantage, 2024 International Conference on Management Science and Software Engineering (ICMSSE2024) emerges as a paramount academic event. This conference aims to bridge the theoretical foundations and practical applications of both fields, fostering a rich exchange of knowledge among academics, researchers, and practitioners. **Research Background** Management science and software engineering, as two pivotal disciplines, have separately contributed to the landscapes of operational excellence and technological advancement. However, the intersection of these domains holds the potential to revolutionize how businesses operate, innovate, and respond to market dynamics. The integration of robust management theories with cutting-edge software engineering practices is critical in addressing contemporary challenges such as digital transformation, agile management, data analytics, and sustainable development. **Themes** The ICMSSE2024 is structured around several key themes that reflect the current trends and future directions in both fields. These include, but are not limited to: - Agile methodologies and their implications for project management and organizational behavior. - Data science and its role in strategic decision-making, risk management, and optimization. - Software engineering practices that enhance operational efficiency, product innovation, and customer satisfaction. - The impact of emerging technologies (AI, IoT, blockchain) on management strategies and business models. - Sustainability and ethics in management practices and software development.