Big Data Analytics for Cyber-Physical System in Smart City: Bdcps 2020, 28-29 December 2020, Shanghai, China, Atiquzzaman Mohammed, Yen Neil, Xu Zheng
Автор: Mohammed Atiquzzaman; Neil Yen; Zheng Xu Название: Big Data Analytics for Cyber-Physical System in Smart City ISBN: 9811525676 ISBN-13(EAN): 9789811525674 Издательство: Springer Рейтинг: Цена: 69876.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.
Описание: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.
Описание: This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019.The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions.
Описание: When Fern and Aiden have a windfall, their reactions could not be more different. Fern wants to pay off their mortgage and starting a family but Aiden wants to travel the world. The idea of a `marriage gap year` takes shape. Their years unfolds in very different ways, will the time apart transform their marriage or will it drive them further apart?
Описание: Examines fundamental Daoist values, modes of thinking, dietetics, communities, leadership ideals, nonviolence, gender equality as well as methods of self-cultivation in relation to prehistoric patterns. An enlightening account of Daoism in the context of human development since the Paleolithic, this book offers a new vision of the Daoist tradition, Chinese history, and essential human choices.
Introduction.- Foundations and Related Literature.- SPNTA: Stochastic Petri-Net-Based Reliability Analysis under Topology Attacks.- DHCD: Distributed Host-Based Collaborative Detection for FDI Attacks.- DDOA: Dirichlet-Based Detection for Opportunistic Attacks.- PFDD: On Feasibility and Limitations of Detecting FDI Attacks Using DFACTS.- Conclusion.
Introduction.- Foundations and Related Literature.- SPNTA: Stochastic Petri-Net-Based Reliability Analysis under Topology Attacks.- DHCD: Distributed Host-Based Collaborative Detection for FDI Attacks.- DDOA: Dirichlet-Based Detection for Opportunistic Attacks.- PFDD: On Feasibility and Limitations of Detecting FDI Attacks Using DFACTS.- Conclusion.
Описание: This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Ghent, Belgium, in September 2020. The 15 full papers presented in this book were carefully reviewed and selected from 29 submissions.
Описание: This book is a collection of research papers and articles presented at the 3rd International Conference on Communications and Cyber-Physical Engineering (ICCCE 2020), held on 1-2 February 2020 at CMR Engineering College, Hyderabad, Telangana, India.
Описание: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies.
Автор: Valentina E. Balas; Vijender Kumar Solanki; Raghve Название: Internet of Things and Big Data Analytics for Smart Generation ISBN: 3030042022 ISBN-13(EAN): 9783030042028 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.
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