Proceedings Of The 5th International Conference On Big Data Analytics For Cyber Physical System In Smart City

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Proceedings Of The 5th International Conference On Big Data Analytics For Cyber Physical System In Smart City Volume 1

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Author : Mohammed Atiquzzaman
language : en
Publisher: Springer Nature
Release Date : 2025-02-01

Proceedings Of The 5th International Conference On Big Data Analytics For Cyber Physical System In Smart City Volume 1 written by Mohammed Atiquzzaman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Computers categories.

This book gathers a selection of peer-reviewed papers presented at the 5th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2023) conference, held in Fuyang, China, on December 28–29. 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 5th International Conference On Big Data Analytics For Cyber Physical System In Smart City Volume 2

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Author : Mohammed Atiquzzaman
language : en
Publisher: Springer Nature
Release Date : 2025-02-26

Proceedings Of The 5th International Conference On Big Data Analytics For Cyber Physical System In Smart City Volume 2 written by Mohammed Atiquzzaman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Computers categories.

This book gathers a selection of peer-reviewed papers presented at the 5th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2023) conference, held in Fuyang, China, on December 28–29. 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.

Big Data Analytics For Cyber Physical System In Smart City

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Author : Mohammed Atiquzzaman
language : en
Publisher: Springer Nature
Release Date : 2020-01-11

Big Data Analytics For Cyber Physical System In Smart City written by Mohammed Atiquzzaman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-11 with Technology & Engineering categories.

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 Analytics For Cyber Physical Systems

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Author : Guido Dartmann
language : en
Publisher: Elsevier
Release Date : 2019-07-15

Big Data Analytics For Cyber Physical Systems written by Guido Dartmann and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-15 with Law categories.

Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the educational transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science. - Bridges the gap between IoT, CPS, and mathematical modelling - Features numerous use cases that discuss how concepts are applied in different domains and applications - Provides "best practices", "winning stories" and "real-world examples" to complement innovation - Includes highlights of mathematical foundations of signal processing and machine learning in CPS and IoT

Empowering Iot With Big Data Analytics

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Author : Mohamed Adel Serhani
language : en
Publisher: Elsevier
Release Date : 2024-11-16

Empowering Iot With Big Data Analytics written by Mohamed Adel Serhani and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-16 with Computers categories.

Empowering IoT with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering IoT with big data technologies and big data analytics solutions, thus allowing for better processing, analysis, protection, distribution, and visualization of data for the benefit of IoT applications and second, a better deployment of IoT applications on the ground. This book covers big data in the IoT era, its application domains, current state-of-the-art in big data and IoT technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for IoT, including storage, processing, protection, distribution, analytics, and visualization.Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data. - Introduces fundamental concepts of big data analytics and their applications to IoT - Helps readers learn to leverage big data storage, processing and analysis tools, and techniques to promote IoT applications for better decision-making - Explores federated learning in big data to ensure data privacy and handle data heterogeneity

Application Of Ai In The Teaching And Learning Of English As A Foreign Language Efl

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Author : Baba Khouya, Youssef
language : en
Publisher: IGI Global
Release Date : 2025-05-28

Application Of Ai In The Teaching And Learning Of English As A Foreign Language Efl written by Baba Khouya, Youssef and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Education categories.

The application of artificial intelligence (AI) in the teaching and learning of English as a Foreign Language (EFL) transforms traditional educational practices by offering more personalized, efficient, and interactive learning experiences. AI-powered tools enable learners to receive instant feedback, engage in conversational practice, and tailor content to individual learning styles. AI facilitates adaptive learning platforms that analyze students’ progress and adjust difficulty and content type. For educators, AI can assist in automating administrative tasks, assessing student performance, and identifying areas for learner support. Further research may enable more data-informed and responsive teaching strategies in EFL contexts. Application of AI in the Teaching and Learning of English as a Foreign Language (EFL) explores the application of AI in the teaching and learning of EFL. Through an applied linguistics lens, this publication examines how AI technologies transform traditional EFL methodologies, addressing the potential of AI to personalize learning, optimize language assessment, and facilitate language acquisition, while also tackling challenges, ethical considerations, and the need for interdisciplinary collaboration. This book covers topics such as ethics and law, lexicology, and gamification, and is a useful resource for educators, linguists and language experts, computer engineers, academicians, researchers, and scientists.

Research Companion To Building Information Modeling

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Author : Lu, Weisheng
language : en
Publisher: Edward Elgar Publishing
Release Date : 2022-03-22

Research Companion To Building Information Modeling written by Lu, Weisheng and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-22 with Technology & Engineering categories.

Offering critical insights to the state-of-the-art in Building Information Modeling (BIM) research and development, this book outlines the prospects and challenges for the field in this era of digital revolution. Analysing the contributions of BIM across the construction industry, it provides a comprehensive survey of global BIM practices.

Trends In Computational Intelligence Security And Internet Of Things

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Author : Nirmalya Kar
language : en
Publisher: Springer Nature
Release Date : 2020-12-29

Trends In Computational Intelligence Security And Internet Of Things written by Nirmalya Kar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-29 with Computers categories.

This volume constitutes the refereed proceedings of the Third International Conference on Computational Intelligence, Security and Internet of Things, ICCISIoT 2020, held in Agartala, India, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 23 full papers and 4 short papers were carefully reviewed and selected from 113 submissions. The papers are organised according to the following topics: computational intelligence, security, and internet of things.

Proceedings Of The 5th International Conference On Data Science Machine Learning And Applications Volume 2

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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-10-19

Proceedings Of The 5th International Conference On Data Science Machine Learning And Applications Volume 2 written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-19 with Computers categories.

This book includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.

Digital Transformation In The Construction Industry

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Author : Ehsan Noroozinejad Farsangi
language : en
Publisher: Woodhead Publishing
Release Date : 2025-05-16

Digital Transformation In The Construction Industry written by Ehsan Noroozinejad Farsangi and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Technology & Engineering categories.

Digital Transformation in the Construction Industry: Sustainability, Resilience, and Data-Centric Engineering delivers timely and much sought-after guidance related to novel, digital-first practices and the latest technological tools, the gradual adoption of which is being embraced to significantly reshape the way buildings and other infrastructure assets are designed, constructed, operated, and maintained.Methodological and practice-informed investigations by scholars and researchers from across the globe, providing a wealth of knowledge relevant for, and applicable to, different geographical and economic contexts, are coherently collated in this edited volume. This systematic analysis of cutting-edge developments (such as Building Information Modeling, Internet of Things, Artificial Intelligence, Machine Learning, Big Data, Augmented Reality, Virtual Reality, 3D Printing, and Structural Health Monitoring) is accompanied by discussions on challenges and opportunities that digitalization engenders. Additionally, real-word case studies enrich the coverage, highlighting how these innovative solutions can contribute to establishing working efficiencies that can at the same time aid the impactful realization of globally recognized sustainability goals.Readers in both academic and professional settings are, therefore, not only equipped with a comprehensive overview of the state of the art but also offered an insightful reference resource for future works in the area. - Covers emerging technologies comprehensively - Emphasizes the use of digital tools to support achievements for worldwide net zero targets - Focuses on lean and agile construction practices to improve project efficiency and reduce waste