Автор: Kedem Benjamin Et Al Название: Statistical Data Fusion ISBN: 9813200189 ISBN-13(EAN): 9789813200180 Издательство: World Scientific Publishing Рейтинг: Цена: 85530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 'The book provides a comprehensive review of the DRM approach to data fusion. It is well written and easy to follow, although the technical details are not trivial. The authors did an excellent job in making a concise introduction of the statistical techniques in data fusion. The book contains several real data ... Overall, I found that the book covers an important topic and the DRM is a promising tool in this area. Researchers on data fusion will surely find this book very helpful and I will use this book in studying with my PhD students.'Journal of the American Statistical AssociationThis book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources.The book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis.
Автор: Wolfgang Koch Название: Tracking and Sensor Data Fusion ISBN: 3642392709 ISBN-13(EAN): 9783642392702 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an introduction to sensor data fusion, as an information technology as well as a branch of engineering science and informatics. It presents a coherent methodological framework and features advanced application examples.
Автор: H.B. Mitchell Название: Multi-Sensor Data Fusion: An Introduction ISBN: 3642090672 ISBN-13(EAN): 9783642090677 Издательство: Springer Рейтинг: Цена: 87060.00 T Наличие на складе: Поставка под заказ. Описание: This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.
Автор: Zhang Название: Distributed Fusion Estimation for Sensor Networks with Communication Constraints ISBN: 9811007934 ISBN-13(EAN): 9789811007934 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Thisbook systematically presents energy-efficient robust fusion estimation methodsto achieve thorough and comprehensive results in the context of network-basedfusion estimation. It summarizes recent findings on fusion estimation withcommunication constraints; several novel energy-efficient and robust designmethods for dealing with energy constraints and network-induced uncertaintiesare presented, such as delays, packet losses, and asynchronous information...All the results are presented as algorithms, which are convenient for practicalapplications.
Автор: Shengli Wu Название: Data Fusion in Information Retrieval ISBN: 3642448011 ISBN-13(EAN): 9783642448010 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a theoretical and empirical approach to data fusion, used in information retrieval in complex, diverse settings such as web and social networks, legal, enterprise and others. Discusses, analyzes and ealuates typical data fusion algorithms.
Автор: Francesc Soriguera Mart? Название: Highway Travel Time Estimation With Data Fusion ISBN: 3662488566 ISBN-13(EAN): 9783662488560 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This monograph presents a simple,innovative approach for the measurement and short-term prediction of highwaytravel times based on the fusion of inductive loop detector and toll ticketdata.
Автор: Ahmed Abdelgawad; Magdy Bayoumi Название: Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks ISBN: 1489987061 ISBN-13(EAN): 9781489987068 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces resource-aware data fusion algorithms that generate inferences by combining data from multiple sources-techniques useful in centralized and distributed systems to overcome sensor failure, technological limitations, and coverage problems.
Автор: Hsu, Hui-Huang Название: Big Data Analytics for Sensor-Network Collected Intelligence ISBN: 0128093935 ISBN-13(EAN): 9780128093931 Издательство: Elsevier Science Рейтинг: Цена: 101060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.
It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.
In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.
Indexing: The books of this series are submitted to EI-Compendex and SCOPUS
Contains contributions from noted scholars in computer science and electrical engineering from around the globe
Provides a broad overview of recent developments in sensor collected intelligence
Edited by a team comprised of leading thinkers in big data analytics
Автор: Gregory D. Hager Название: Task-Directed Sensor Fusion and Planning ISBN: 1461288282 ISBN-13(EAN): 9781461288282 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: If you have ever hiked up a steep hill to reach a viewpoint, you will know that sensing can involve the expenditure of effort. One reason is that until quite recently Robotics research was dominated by work on robot arms with limited reach and fixed in a workcell.
Автор: H B Mitchell Название: Data Fusion: Concepts and Ideas ISBN: 3642437303 ISBN-13(EAN): 9783642437304 Издательство: Springer Рейтинг: Цена: 65290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The main changes in the new book are: New Material: Apart from one new chapter there are approximately 30 new sections, 50 new examples and 100 new references. Altogether, the new book is nearly 70 pages longer than the original book.
Автор: Christian Servin; Vladik Kreinovich Название: Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion ISBN: 3319385879 ISBN-13(EAN): 9783319385877 Издательство: Springer Рейтинг: Цена: 87060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: On various examples ranging from geosciences to environmental sciences, thisbook explains how to generate an adequate description of uncertainty, how to justifysemiheuristic algorithms for processing uncertainty, and how to make these algorithmsmore computationally efficient.
Автор: Chris Harris; Xia Hong; Qiang Gan Название: Adaptive Modelling, Estimation and Fusion from Data ISBN: 3642621198 ISBN-13(EAN): 9783642621192 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book brings together for the first time the complete theory of data based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. The book aims at researchers and advanced professionals in time series modelling, empirical data modelling, knowledge discovery, data mining and data fusion.
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