Описание: Presemts research on integrating a digital environment in professional settings through IoT design and virtual reality. While highlighting topics such as sensor networks, deep learning techniques, and knowledge management, this publication explores developing methods of smart security as well as protocol support in IoT devices.
Описание: Presemts research on integrating a digital environment in professional settings through IoT design and virtual reality. While highlighting topics such as sensor networks, deep learning techniques, and knowledge management, this publication explores developing methods of smart security as well as protocol support in IoT devices.
Автор: Bruno Baruque Название: Fusion Methods for Unsupervised Learning Ensembles ISBN: 3642423280 ISBN-13(EAN): 9783642423284 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the potential of the ensemble meta-algorithm by describing and testing a technique based on the combination of ensembles and statistical PCA that is able to determine the presence of outliers in high-dimensional data sets.
Автор: I.R. Goodman; R.P. Mahler; Hung T. Nguyen Название: Mathematics of Data Fusion ISBN: 9048148871 ISBN-13(EAN): 9789048148875 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Jiawei Zhang; Philip S. Yu Название: Broad Learning Through Fusions ISBN: 3030125270 ISBN-13(EAN): 9783030125271 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online social networks as an application example to introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network basics, specific topics covered in this book include network alignment, link prediction, community detection, information diffusion, viral marketing, and network embedding.
Описание: This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making.
Описание: Since the publication of the first edition of this book, advances in algorithms, logic and software tools have transformed the field of data fusion. This edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis and data system fusion control.
Описание: This work proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) and the µBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. In addition, a sensor defect detection method, which is based on the continuous monitoring of sensor reliabilities, is presented. The performances of the contributions are shown by their evaluation in the scope of both a publicly available data set and a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms.
Автор: Gregory D. Hager Название: Task-Directed Sensor Fusion and Planning ISBN: 1461288282 ISBN-13(EAN): 9781461288282 Издательство: Springer Рейтинг: Цена: 20962.00 р. 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.
Part 1: Data Modelling, Integration, Fusion and Analysis in IGIS.- Space Theory for Intelligent GIS.- Detecting Attribute-based Homogeneous Patches Using Spatial Clustering: A Comparison Test.- Part 2: Maritime Traffic Control Methods.- Vessel scheduling optimization in different types of waterway.- The Route Planning for Vessel Based on the Dynamic Complexity Map.- Part 3: IGIS integration with acoustic, remote sensing and radar systems.- Calibration and verification of the models defining radar visibility zones in marine geoinformation systems.- Geoinformational Support of Search Efforts Distribution in Changing Environmental Conditions.- Part 4: Ports, Maritime Transportation and Logistics.- Community Structures in Networks of Disaggregated Cargo Flows to Maritime Ports.- Simulation Modeling of Maritime Monitoring Systems with Application of Information Technology Complex.- Part 5: IGIS for Land-based Research.- ST-PF: Spatio-Temporal Particle Filter for Floating Car Data Pre-processing.- Geochronologic Tracking - Specialized GIS Analysis Tool for Historic Research.
Автор: Tomasa Calvo S?nchez; Joan Torrens Sastre Название: Fuzzy Logic and Information Fusion ISBN: 3319304194 ISBN-13(EAN): 9783319304199 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book alsoincludes an overview of evolutionary fuzzy systems, a topic that is not one of Mayor`s main areas of interest, and a final chapterwritten by the Spanish pioneer in fuzzylogic, Professor E.
Автор: H.B. Mitchell Название: Multi-Sensor Data Fusion: An Introduction ISBN: 3642090672 ISBN-13(EAN): 9783642090677 Издательство: Springer Рейтинг: Цена: 13059.00 р. 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.
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