Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) using Machine Learning Techniques in Industry 4.0 Paradigm.- Role of Industry 4.0 in Performance Improvement of Furniture Cluster.- Imparting Industry 4.0 Education using Open Source Tools: A Case.- Decision support framework for smart implementation of green supply chain management practices.- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry.- On the Condition Monitoring and Maintenance Approaches for Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers.- Principal Components based Multivariate Statistical Process Monitoring of Machining Process using Machine Vision Approach.- Green IS - Exploring Environmental Sensitive IS through the Lens of Enterprise Architecture.
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 gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4-5 January 2020.
Описание: Edited in collaboration with FoLLI, the Association of Logic, Language and Information this book constitutes the refereed proceedings of the Second Interdisciplinary Workshop on Logic, Language, and Meaning, TLLM 2020, held in Tsinghua, China, in December 2020.
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