Data Fusion Methodology And Applications

Data Fusion Methodology And Applications Book PDF
✏Book Title : Data Fusion Methodology and Applications
✏Author : Marina Cocchi
✏Publisher : Elsevier
✏Release Date : 2019-05-11
✏Pages : 396
✏ISBN : 9780444639851
✏Available Language : English, Spanish, And French

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✏Data Fusion Methodology and Applications Book Summary : Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales. Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discovery Includes comprehensible, theoretical chapters written for large and diverse audiences Provides a wealth of selected application to the topics included

Exam Prep For Data Fusion Methodology And Applications Book PDF
✏Book Title : Exam Prep for Data Fusion Methodology and Applications
✏Author :
✏Publisher :
✏Release Date :
✏Pages :
✏ISBN :
✏Available Language : English, Spanish, And French

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✏Exam Prep for Data Fusion Methodology and Applications Book Summary :

Data Fusion For Situation Monitoring Incident Detection Alert And Response Management Book PDF
✏Book Title : Data Fusion for Situation Monitoring Incident Detection Alert and Response Management
✏Author : E. Shahbazian
✏Publisher : IOS Press
✏Release Date : 2006-03-02
✏Pages : 832
✏ISBN : 9781607501244
✏Available Language : English, Spanish, And French

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✏Data Fusion for Situation Monitoring Incident Detection Alert and Response Management Book Summary : Data Fusion is a very broad interdisciplinary technology domain. It provides techniques and methods for; integrating information from multiple sources and using the complementarities of these detections to derive maximum information about the phenomenon being observed; analyzing and deriving the meaning of these observations and predicting possible consequences of the observed state of the environment; selecting the best course of action; and controlling the actions. Here, the focus is on the more mature phase of data fusion, namely the detection and identification / classification of phenomena being observed and exploitation of the related methods for Security-Related Civil Science and Technology (SST) applications. It is necessary to; expand on the data fusion methodology pertinent to Situation Monitoring, Incident Detection, Alert and Response Management; discuss some related Cognitive Engineering and visualization issues; provide an insight into the architectures and methodologies for building a data fusion system; discuss fusion approaches to image exploitation with emphasis on security applications; discuss novel distributed tracking approaches as a necessary step of situation monitoring and incident detection; and provide examples of real situations, in which data fusion can enhance incident detection, prevention and response capability. In order to give a logical presentation of the data fusion material, first the general concepts are highlighted (Fusion Methodology, Human Computer Interactions and Systems and Architectures), closing with several applications (Data Fusion for Imagery, Tracking and Sensor Fusion and Applications and Opportunities for Fusion).

📒Multisensor Data Fusion ✍ Hassen Fourati

Multisensor Data Fusion Book PDF
✏Book Title : Multisensor Data Fusion
✏Author : Hassen Fourati
✏Publisher : CRC Press
✏Release Date : 2017-12-19
✏Pages : 639
✏ISBN : 9781482263756
✏Available Language : English, Spanish, And French

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✏Multisensor Data Fusion Book Summary : Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Data Fusion And Data Mining For Power System Monitoring Book PDF
✏Book Title : Data Fusion and Data Mining for Power System Monitoring
✏Author : Arturo Román Messina
✏Publisher : CRC Press
✏Release Date : 2020-05-05
✏Pages : 250
✏ISBN : 9781000065893
✏Available Language : English, Spanish, And French

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✏Data Fusion and Data Mining for Power System Monitoring Book Summary : Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining techniques for power system monitoring with focus on use of synchronized phasor networks. Relevant statistical data mining techniques are given, and efficient methods to cluster and visualize data collected from multiple sensors are discussed. Both linear and nonlinear data-driven mining and fusion techniques are reviewed, with emphasis on the analysis and visualization of massive distributed data sets. Challenges involved in realistic monitoring, visualization, and analysis of observation data from actual events are also emphasized, supported by examples of relevant applications. Features Focuses on systematic illustration of data mining and fusion in power systems Covers issues of standards used in the power industry for data mining and data analytics Applications to a wide range of power networks are provided including distribution and transmission networks Provides holistic approach to the problem of data mining and data fusion using cutting-edge methodologies and technologies Includes applications to massive spatiotemporal data from simulations and actual events

📒Ndt Data Fusion ✍ Xavier Emanuel Gros

Ndt Data Fusion Book PDF
✏Book Title : NDT Data Fusion
✏Author : Xavier Emanuel Gros
✏Publisher : Butterworth-Heinemann
✏Release Date : 1997
✏Pages : 205
✏ISBN : 9780340676486
✏Available Language : English, Spanish, And French

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✏NDT Data Fusion Book Summary : Data fusion is a rapidly developing technology which involves the combination of information supplied by several NDT (Non-Destructive Testing) sensors to provide a more complete and understandable picture of structural integrity. This text is the first to be devoted exclusively to the concept of multisensor integration and data fusion applied to NDT. The advantages of this methodology are widely acknowledged and the author presents an excellent introduction to data fusion processes. Problems are approached progressively through detailed case studies, offering practical guidance for those wishing to develop and explore NDT data fusion further. This book will prove invaluable to inspectors, students and researchers concerned with NDT signal processing measurements and testing. It shows the great value and major benefits which can be achieved by implementing multisensor data fusion, not only in NDT but also in any discipline where measurements and testing are key activities.

Multisensor Data Fusion Book PDF
✏Book Title : Multisensor Data Fusion
✏Author : David Hall
✏Publisher : CRC Press
✏Release Date : 2001-06-20
✏Pages : 568
✏ISBN : 9781420038545
✏Available Language : English, Spanish, And French

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✏Multisensor Data Fusion Book Summary : The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut

Applications Of Ndt Data Fusion Book PDF
✏Book Title : Applications of NDT Data Fusion
✏Author : Xavier E. Gros
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-11-27
✏Pages : 277
✏ISBN : 9781461514114
✏Available Language : English, Spanish, And French

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✏Applications of NDT Data Fusion Book Summary : Non-destructive testing (NDT) systems can generate incomplete, incorrect or conflicting information about a flaw or a defect. Therefore, the use of more than one NDT system is usually required for accurate defect detection and/or quantification. In addition to a reduction in inspection time, important cost savings could be achieved if a data fusion process is developed to combine signals from multisensor systems for manual and remotely operated inspections. This gathering of data from multiple sources and an efficient processing of information help in decision making, reduce signal uncertainty and increase the overall performance of a non-destructive examination. This book gathers, for the first time, essays from leading NDT experts involved in data fusion. It explores the concept of data fusion by providing a comprehensive review and analysis of the applications of NDT data fusion. This publication concentrates on NDT data fusion for industrial applications and highlights progress and applications in the field of data fusion in areas ranging from materials testing in the aerospace industry to medical applications. Each chapter contains a specific case study with a theoretical part but also presents experimental results from a practical point of view. The book should be considered more as a pragmatic introduction to the applications of NDT data fusion rather than a rigorous basis for theoretical studies.

Data Fusion Concepts And Ideas Book PDF
✏Book Title : Data Fusion Concepts and Ideas
✏Author : H B Mitchell
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-02-09
✏Pages : 346
✏ISBN : 9783642272226
✏Available Language : English, Spanish, And French

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✏Data Fusion Concepts and Ideas Book Summary : This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction" which was originally published by Springer-Verlag in 2007. 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. At the same time, material which is out-of-date has been eliminated and the remaining text has been rewritten for added clarity. Altogether, the new book is nearly 70 pages longer than the original book. Matlab code: Where appropriate we have given details of Matlab code which may be downloaded from the worldwide web. In a few places, where such code is not readily available, we have included Matlab code in the body of the text. Layout. The layout and typography has been revised. Examples and Matlab code now appear on a gray background for easy identification and advancd material is marked with an asterisk. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability is recommended. Although conceptually simple, the study of mult-sensor data fusion presents challenges that are unique within the education of the electrical engineer or computer scientist. To become competent in the field the student must become familiar with tools taken from a wide range of diverse subjects including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory. All too often, the student views multi-sensor data fusion as a miscellaneous assortment of different processes which bear no relationship to each other. In contrast, in this book the processes are unified by using a common statistical framework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident. The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references.

Multisensor Attitude Estimation Book PDF
✏Book Title : Multisensor Attitude Estimation
✏Author : Hassen Fourati
✏Publisher : CRC Press
✏Release Date : 2016-11-03
✏Pages : 580
✏ISBN : 9781315351759
✏Available Language : English, Spanish, And French

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✏Multisensor Attitude Estimation Book Summary : There has been an increasing interest in multi-disciplinary research on multisensor attitude estimation technology driven by its versatility and diverse areas of application, such as sensor networks, robotics, navigation, video, biomedicine, etc. Attitude estimation consists of the determination of rigid bodies’ orientation in 3D space. This research area is a multilevel, multifaceted process handling the automatic association, correlation, estimation, and combination of data and information from several sources. Data fusion for attitude estimation is motivated by several issues and problems, such as data imperfection, data multi-modality, data dimensionality, processing framework, etc. While many of these problems have been identified and heavily investigated, no single data fusion algorithm is capable of addressing all the aforementioned challenges. The variety of methods in the literature focus on a subset of these issues to solve, which would be determined based on the application in hand. Historically, the problem of attitude estimation has been introduced by Grace Wahba in 1965 within the estimate of satellite attitude and aerospace applications. This book intends to provide the reader with both a generic and comprehensive view of contemporary data fusion methodologies for attitude estimation, as well as the most recent researches and novel advances on multisensor attitude estimation task. It explores the design of algorithms and architectures, benefits, and challenging aspects, as well as a broad array of disciplines, including: navigation, robotics, biomedicine, motion analysis, etc. A number of issues that make data fusion for attitude estimation a challenging task, and which will be discussed through the different chapters of the book, are related to: 1) The nature of sensors and information sources (accelerometer, gyroscope, magnetometer, GPS, inclinometer, etc.); 2) The computational ability at the sensors; 3) The theoretical developments and convergence proofs; 4) The system architecture, computational resources, fusion level.

Signal Processing Sensor Fusion And Target Recognition Book PDF
✏Book Title : Signal Processing Sensor Fusion and Target Recognition
✏Author :
✏Publisher :
✏Release Date : 1996
✏Pages :
✏ISBN : UOM:39015036233537
✏Available Language : English, Spanish, And French

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✏Signal Processing Sensor Fusion and Target Recognition Book Summary :

Handbook Of Multisensor Data Fusion Book PDF
✏Book Title : Handbook of Multisensor Data Fusion
✏Author : Martin Liggins II
✏Publisher : CRC Press
✏Release Date : 2017-01-06
✏Pages : 870
✏ISBN : 9781420053098
✏Available Language : English, Spanish, And French

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✏Handbook of Multisensor Data Fusion Book Summary : In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field. New to the Second Edition— · Applications in electromagnetic systems and chemical and biological sensors · Army command and combat identification techniques · Techniques for automated reasoning · Advances in Kalman filtering · Fusion in a network centric environment · Service-oriented architecture concepts · Intelligent agents for improved decision making · Commercial off-the-shelf (COTS) software tools From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.

Intelligent Problem Solving Methodologies And Approaches Book PDF
✏Book Title : Intelligent Problem Solving Methodologies and Approaches
✏Author : Rasiah Logananthara
✏Publisher : Springer Science & Business Media
✏Release Date : 2000-06-07
✏Pages : 754
✏ISBN : 9783540676898
✏Available Language : English, Spanish, And French

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✏Intelligent Problem Solving Methodologies and Approaches Book Summary : The focus of the papers presented in these proceedings is on employing various methodologies and approaches for solving real-life problems. Although the mechanisms that the human brain employs to solve problems are not yet completely known, we do have good insight into the functional processing performed by the human mind. On the basis of the understanding of these natural processes, scientists in the field of applied intelligence have developed multiple types of artificial processes, and have employed them successfully in solving real-life problems. The types of approaches used to solve problems are dependant on both the nature of the problem and the expected outcome. While knowledge-based systems are useful for solving problems in well-understood domains with relatively stable environments, the approach may fail when the domain knowledge is either not very well understood or changing rapidly. The techniques of data discovery through data mining will help to alleviate some problems faced by knowledge-based approaches to solving problems in such domains. Research and development in the area of artificial intelligence are influenced by opportunity, needs, and the availability of resources. The rapid advancement of Internet technology and the trend of increasing bandwidths provide an opportunity and a need for intelligent information processing, thus creating an excellent opportunity for agent-based computations and learning. Over 40% of the papers appearing in the conference proceedings focus on the area of machine learning and intelligent agents - clear evidence of growing interest in this area.

Tracking And Sensor Data Fusion Book PDF
✏Book Title : Tracking and Sensor Data Fusion
✏Author : Wolfgang Koch
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-09-20
✏Pages : 253
✏ISBN : 9783642392719
✏Available Language : English, Spanish, And French

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✏Tracking and Sensor Data Fusion Book Summary : Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way that a better understanding of an underlying real-world phenomenon is achieved. Typically, this insight is either unobtainable otherwise or a fusion result exceeds what can be produced from a single sensor output in accuracy, reliability, or cost. This book provides an introduction Sensor Data Fusion, as an information technology as well as a branch of engineering science and informatics. Part I presents a coherent methodological framework, thus providing the prerequisites for discussing selected applications in Part II of the book. The presentation mirrors the author's views on the subject and emphasizes his own contributions to the development of particular aspects. With some delay, Sensor Data Fusion is likely to develop along lines similar to the evolution of another modern key technology whose origin is in the military domain, the Internet. It is the author's firm conviction that until now, scientists and engineers have only scratched the surface of the vast range of opportunities for research, engineering, and product development that still waits to be explored: the Internet of the Sensors.

A Fault Tolerant Data Fusion System For Navigation Applications To A Ducted Fan Vtol Uav Book PDF
✏Book Title : A FAULT TOLERANT DATA FUSION SYSTEM FOR NAVIGATION APPLICATIONS TO A DUCTED FAN VTOL UAV
✏Author :
✏Publisher :
✏Release Date : 2016
✏Pages :
✏ISBN : OCLC:1131722127
✏Available Language : English, Spanish, And French

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✏A FAULT TOLERANT DATA FUSION SYSTEM FOR NAVIGATION APPLICATIONS TO A DUCTED FAN VTOL UAV Book Summary : Abstract : A Fault Tolerant, Data Fusion (FTDF) algorithm for a Ducted Fan Unmanned Aerial Vehicle (DFUAV) Navigation System is presented. The algorithm have two parts: Gradient Descent (GD) for the Attitude and Heading Reference System (AHRS) and an Interacting Multiple Model (IMM) for position estimation. The GD methodology was designed to fuse the gyroscope, accelerometer, and geomagnetic sensors. The IMM algorithm is able to identify and compensate for multiple sensors data failures. There are three parts in the presentation. Firstly, system identification and the Allan Variance method is used to build dynamic models and noise models for multiple Sensors and Actuators. Secondly, a GD filter is developed for application to the Inertial Measurement Unit (IMU) consisting of tri-axis gyroscopes, accelerometers and magnetometers. The GD filter implementation incorporates magnetic distortion and gyroscope bias drift compensation. The filter uses a quaternion representation, allowing accelerometer and magnetometer data to be used in an analytically derived and optimized algorithm to compute the direction of the gyroscope measurement error as a quaternion derivative. . Finally, the IMM algorithm is used to combine data from multiple sensors simultaneously. This filter uses multiple models that incorporate sensor failures. The probabilities of these models being correct is generated by the IMM. These probabilities can be used to identify sensor failures and compensate for these failures.

Semantic Grid Model Methodology And Applications Book PDF
✏Book Title : Semantic Grid Model Methodology and Applications
✏Author : Zhaohui Wu
✏Publisher : Springer Science & Business Media
✏Release Date : 2008-11-16
✏Pages : 230
✏ISBN : 9783540794547
✏Available Language : English, Spanish, And French

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✏Semantic Grid Model Methodology and Applications Book Summary : Semantic Grid: Model, Methodology, and Applications introduces to the science, core technologies, and killer applications. First, scientific issues of semantic grid systems are covered, followed by two basic technical issues, data-level semantic mapping, and service-level semantic interoperating. Two killer applications are then introduced to show how to build a semantic grid for specific application domains. Although this book is organized in a step by step manner, each chapter is independent. Detailed application scenarios are also presented. In 1990, Prof. Wu invented the first KB-system tool, ZIPE, based on C on a SUN platform. He proposed the first coupling knowledge representing model, Couplingua, which embodies Rule, Frame, Semantic Network and Nerve Cell Network, and supports symbol computing and data processing computing. His current focus is on semantic web, grid & ubiquitous computing, and their applications in the life sciences.

📒User Driven Healthcare Concepts Methodologies Tools And Applications ✍ Management Association, Information Resources

User Driven Healthcare Concepts Methodologies Tools And Applications Book PDF
✏Book Title : User Driven Healthcare Concepts Methodologies Tools and Applications
✏Author : Management Association, Information Resources
✏Publisher : IGI Global
✏Release Date : 2013-01-31
✏Pages : 1512
✏ISBN : 9781466627710
✏Available Language : English, Spanish, And French

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✏User Driven Healthcare Concepts Methodologies Tools and Applications Book Summary : User-Driven Healthcare: Concepts, Methodologies, Tools, and Applications provides a global discussion on the practice of user-driven learning in healthcare and connected disciplines and its influence on learning through clinical problem solving. This book brings together different perspectives for researchers and practitioners to develop a comprehensive framework of user-driven healthcare.

Mathematics Of Data Fusion Book PDF
✏Book Title : Mathematics of Data Fusion
✏Author : I.R. Goodman
✏Publisher : Springer Science & Business Media
✏Release Date : 1997-08-31
✏Pages : 508
✏ISBN : 0792346742
✏Available Language : English, Spanish, And French

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✏Mathematics of Data Fusion Book Summary : Data fusion or information fusion are names which have been primarily assigned to military-oriented problems. In military applications, typical data fusion problems are: multisensor, multitarget detection, object identification, tracking, threat assessment, mission assessment and mission planning, among many others. However, it is clear that the basic underlying concepts underlying such fusion procedures can often be used in nonmilitary applications as well. The purpose of this book is twofold: First, to point out present gaps in the way data fusion problems are conceptually treated. Second, to address this issue by exhibiting mathematical tools which treat combination of evidence in the presence of uncertainty in a more systematic and comprehensive way. These techniques are based essentially on two novel ideas relating to probability theory: the newly developed fields of random set theory and conditional and relational event algebra. This volume is intended to be both an update on research progress on data fusion and an introduction to potentially powerful new techniques: fuzzy logic, random set theory, and conditional and relational event algebra. Audience: This volume can be used as a reference book for researchers and practitioners in data fusion or expert systems theory, or for graduate students as text for a research seminar or graduate level course.

📒Multisensor Fusion ✍ Rajive Joshi

Multisensor Fusion Book PDF
✏Book Title : Multisensor Fusion
✏Author : Rajive Joshi
✏Publisher : World Scientific
✏Release Date : 1999
✏Pages : 315
✏ISBN : 9810238800
✏Available Language : English, Spanish, And French

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✏Multisensor Fusion Book Summary : The fusion of information from sensors with different physical characteristics, such as sight, touch, sound, etc., enhances the understanding of our surroundings and provides the basis for planning, decision-making, and control of autonomous and intelligent machines. The minimal representation approach to multisensor fusion is based on the use of an information measure as a universal yardstick for fusion. Using models of sensor uncertainty, the representation size guides the integration of widely varying types of data and maximizes the information contributed to a consistent interpretation. In this book, the general theory of minimal representation multisensor fusion is developed and applied in a series of experimental studies of sensor-based robot manipulation. A novel application of differential evolutionary computation is introduced to achieve practical and effective solutions to this difficult computational problem.

Sensor Fusion Architectures Algorithms And Applications Book PDF
✏Book Title : Sensor Fusion Architectures Algorithms and Applications
✏Author :
✏Publisher :
✏Release Date : 2001
✏Pages :
✏ISBN : UOM:39015047805760
✏Available Language : English, Spanish, And French

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✏Sensor Fusion Architectures Algorithms and Applications Book Summary :

Kernel Based Data Fusion For Machine Learning Book PDF
✏Book Title : Kernel based Data Fusion for Machine Learning
✏Author : Shi Yu
✏Publisher : Springer Science & Business Media
✏Release Date : 2011-03-26
✏Pages : 214
✏ISBN : 9783642194054
✏Available Language : English, Spanish, And French

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✏Kernel based Data Fusion for Machine Learning Book Summary : Data fusion problems arise frequently in many different fields. This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then introduces kernel fusion as the additive expansion of support vector machines in the dual problem. The second part presents several novel kernel fusion algorithms and some real applications in supervised and unsupervised learning. The last part of the book substantiates the value of the proposed theories and algorithms in MerKator, an open software to identify disease relevant genes based on the integration of heterogeneous genomic data sources in multiple species. The topics presented in this book are meant for researchers or students who use support vector machines. Several topics addressed in the book may also be interesting to computational biologists who want to tackle data fusion challenges in real applications. The background required of the reader is a good knowledge of data mining, machine learning and linear algebra.

📒Machine Learning Concepts Methodologies Tools And Applications ✍ Management Association, Information Resources

Machine Learning Concepts Methodologies Tools And Applications Book PDF
✏Book Title : Machine Learning Concepts Methodologies Tools and Applications
✏Author : Management Association, Information Resources
✏Publisher : IGI Global
✏Release Date : 2011-07-31
✏Pages : 2124
✏ISBN : 9781609608194
✏Available Language : English, Spanish, And French

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✏Machine Learning Concepts Methodologies Tools and Applications Book Summary : "This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

Remote Sensing For A Changing Europe Book PDF
✏Book Title : Remote Sensing for a Changing Europe
✏Author : EARSeL. Symposium
✏Publisher : IOS Press
✏Release Date : 2009-05-18
✏Pages : 648
✏ISBN : 9781607504153
✏Available Language : English, Spanish, And French

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✏Remote Sensing for a Changing Europe Book Summary : These proceedings cover 84 papers, presented earlier at the ‘Remote Sensing for a Changing Europe’ symposium held in Istanbul, Turkey (2-7 June 2008). Technical presentations were on all fields of geoinformation and remote sensing, but especially on the following topics: geoinformation and remote sensing, new sensors and instruments, image processing techniques, time series analysis, data fusion, imaging spectroscopy, urban remote sensing, land use and land cover, radar remote sensing, LIDAR, land degradation and desertification, hydrology, land ice & snow, coastal zone, forestry, agriculture, 3D spatial analysis and world heritage.

Resource Aware Data Fusion Algorithms For Wireless Sensor Networks Book PDF
✏Book Title : Resource Aware Data Fusion Algorithms for Wireless Sensor Networks
✏Author : Ahmed Abdelgawad
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-02-15
✏Pages : 108
✏ISBN : 9781461413509
✏Available Language : English, Spanish, And French

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✏Resource Aware Data Fusion Algorithms for Wireless Sensor Networks Book Summary : This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems. The algorithms described in this book are evaluated with simulation and experimental results to show they will maintain data integrity and make data useful and informative. Describes techniques to overcome real problems posed by wireless sensor networks deployed in circumstances that might interfere with measurements provided, such as strong variations of pressure, temperature, radiation, and electromagnetic noise; Uses simulation and experimental results to evaluate algorithms presented and includes real test-bed; Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines.

📒Data Mining ✍ Graham J. Williams

Data Mining Book PDF
✏Book Title : Data Mining
✏Author : Graham J. Williams
✏Publisher : Springer Science & Business Media
✏Release Date : 2006-02-20
✏Pages : 329
✏ISBN : 3540325476
✏Available Language : English, Spanish, And French

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✏Data Mining Book Summary : This volume provides a snapshot of the current state of the art in data mining, presenting it both in terms of technical developments and industrial applications. The collection of chapters is based on works presented at the Australasian Data Mining conferences and industrial forums. Authors include some of Australia's leading researchers and practitioners in data mining. The volume also contains chapters by regional and international authors.

📒Autonomous Robotic Systems ✍ Changjiu Zhou

Autonomous Robotic Systems Book PDF
✏Book Title : Autonomous Robotic Systems
✏Author : Changjiu Zhou
✏Publisher : Physica
✏Release Date : 2013-03-20
✏Pages : 500
✏ISBN : 9783790817676
✏Available Language : English, Spanish, And French

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✏Autonomous Robotic Systems Book Summary : This book contains an edited collection of eighteen contributions on soft and hard computing techniques and their applications to autonomous robotic systems. Each contribution has been exclusively written for this volume by a leading researcher. The volume demonstrates the various ways that the soft computing and hard computing techniques can be used in different integrated manners to better develop autonomous robotic systems that can perform various tasks of vision, perception, cognition, thinking, pattern recognition, decision-making, and reasoning and control, amongst others. Each chapter of the book is self-contained and points out the future direction of research. "It is a must reading for students and researchers interested in exploring the potentials of the fascinating field that will form the basis for the design of the intelligent machines of the future" (Madan M. Gupta)

Application Of Neural Networks To Data Fusion Book PDF
✏Book Title : Application of Neural Networks to Data Fusion
✏Author : Peter C. Nelson
✏Publisher :
✏Release Date : 1996
✏Pages : 43
✏ISBN : UCBK:C101165488
✏Available Language : English, Spanish, And French

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✏Application of Neural Networks to Data Fusion Book Summary :

📒Multi Sensor Data Fusion ✍ H.B. Mitchell

Multi Sensor Data Fusion Book PDF
✏Book Title : Multi Sensor Data Fusion
✏Author : H.B. Mitchell
✏Publisher : Springer Science & Business Media
✏Release Date : 2007-07-13
✏Pages : 282
✏ISBN : 9783540715597
✏Available Language : English, Spanish, And French

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✏Multi Sensor Data Fusion Book Summary : This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. 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.

Dfs 88 1988 Tri Service Data Fusion Symposium Volume I Technical Proceedings Johns Hopkins University Applied Physics Laboratory Laurel Maryland 17 19 May 1988 Book PDF
✏Book Title : DFS 88 1988 Tri Service Data Fusion Symposium Volume I Technical Proceedings Johns Hopkins University Applied Physics Laboratory Laurel Maryland 17 19 May 1988
✏Author :
✏Publisher :
✏Release Date : 1988
✏Pages : 491
✏ISBN : OCLC:946108767
✏Available Language : English, Spanish, And French

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✏DFS 88 1988 Tri Service Data Fusion Symposium Volume I Technical Proceedings Johns Hopkins University Applied Physics Laboratory Laurel Maryland 17 19 May 1988 Book Summary : The 1988 Tri-Service Data Fusion Symposium (DFS-88) was held at Laurel, Maryland on 17-19 May 1988 under the joint sponsorship of the Data Fusion Sub-Panel of the Joint Directors of Laboratories (JDL/DFSP), CECOM Center for Signals Warfare, Naval Air Development Center, Rome Air Development Center, and the Naval Ocean Systems Center. The symposium theme, THE ROLE OF DATA FUSION IN TACTICAL C2, emphasizes (a) the emergence of technology for implementing data fusion in military systems, and (b) the growing recognition of the role of data fusion in the data collection/information generation processes required for situation awareness and threat assessment for both tactical and strategic purposes. This proceedings include: (1) OPERATIONAL C2 BRIEFS; (2) COMMANDERS TACTICAL C2 PERSPECTIVE FORUM; (3) JOINT SERVICE/AGENCY PERSPECTIVES AND ISSUES; (4) KNOWLEDGE BASED TECHNIQUES; (5) METHODOLOGY IN DATA FUSION; (6) ADVANCED CONCEPTS; (7) TRACKER-CORRELATORS; and (8) PROGRAMS & APPLICATIONS.

Aerospace America Book PDF
✏Book Title : Aerospace America
✏Author :
✏Publisher :
✏Release Date : 2005
✏Pages :
✏ISBN : STANFORD:36105122648186
✏Available Language : English, Spanish, And French

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✏Aerospace America Book Summary :