Data Fusion Methodology and Applications

Data Fusion Methodology and Applications
Author: Marina Cocchi
Publsiher: Elsevier
Total Pages: 396
Release: 2019-05-11
ISBN 10: 0444639853
ISBN 13: 9780444639851
Language: EN, FR, DE, ES & NL

Data Fusion Methodology and Applications Book Review:

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

Multiblock Data Fusion in Statistics and Machine Learning

Multiblock Data Fusion in Statistics and Machine Learning
Author: Age K. Smilde,Tormod Næs,Kristian Hovde Liland
Publsiher: John Wiley & Sons
Total Pages: 416
Release: 2022-05-02
ISBN 10: 1119600960
ISBN 13: 9781119600961
Language: EN, FR, DE, ES & NL

Multiblock Data Fusion in Statistics and Machine Learning Book Review:

Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist. Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems. Many of the included methods are illustrated by practical examples and are accompanied by a freely available R-package. The distinguished authors have created an accessible and useful guide to help readers fuse data, develop new data fusion models, discover how the involved algorithms and models work, and understand the advantages and shortcomings of various approaches. This book includes: A thorough introduction to the different options available for the fusion of multiple data sets, including methods originating in psychometrics and chemometrics Practical discussions of well-known and lesser-known methods with applications in a wide variety of data problems Included, functional R-code for the application of many of the discussed methods Perfect for graduate students studying data analysis in the context of the natural and life sciences, including bioinformatics, sensometrics, and chemometrics, Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is also an indispensable resource for developers and users of the results of multiblock methods.

Applications of NDT Data Fusion

Applications of NDT Data Fusion
Author: Xavier E. Gros
Publsiher: Springer Science & Business Media
Total Pages: 277
Release: 2013-11-27
ISBN 10: 1461514118
ISBN 13: 9781461514114
Language: EN, FR, DE, ES & NL

Applications of NDT Data Fusion Book Review:

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.

NDT Data Fusion

NDT Data Fusion
Author: Xavier Gros
Publsiher: Elsevier
Total Pages: 205
Release: 1996-11-01
ISBN 10: 0080524044
ISBN 13: 9780080524047
Language: EN, FR, DE, ES & NL

NDT Data Fusion Book Review:

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.

Comprehensive Chemometrics

Comprehensive Chemometrics
Author: Steven Brown,Roma Tauler,Beata Walczak
Publsiher: Elsevier
Total Pages: 2944
Release: 2020-05-26
ISBN 10: 0444641661
ISBN 13: 9780444641663
Language: EN, FR, DE, ES & NL

Comprehensive Chemometrics Book Review:

Comprehensive Chemometrics, Second Edition features expanded and updated coverage, along with new content that covers advances in the field since the previous edition published in 2009. Subject of note include updates in the fields of multidimensional and megavariate data analysis, omics data analysis, big chemical and biochemical data analysis, data fusion and sparse methods. The book follows a similar structure to the previous edition, using the same section titles to frame articles. Many chapters from the previous edition are updated, but there are also many new chapters on the latest developments. Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience

Advances in Multi Sensor Information Fusion Theory and Applications 2017

Advances in Multi Sensor Information Fusion  Theory and Applications 2017
Author: Xue-Bo Jin,Shuli Sun,Hong Wei,Feng-Bao Yang
Publsiher: MDPI
Total Pages: 568
Release: 2018-06-26
ISBN 10: 3038429333
ISBN 13: 9783038429333
Language: EN, FR, DE, ES & NL

Advances in Multi Sensor Information Fusion Theory and Applications 2017 Book Review:

This book is a printed edition of the Special Issue "Advances in Multi-Sensor Information Fusion: Theory and Applications 2017" that was published in Sensors

Recent Advances in Intelligent Systems and Smart Applications

Recent Advances in Intelligent Systems and Smart Applications
Author: Mostafa Al-Emran,Khaled Shaalan,Aboul Ella Hassanien
Publsiher: Springer Nature
Total Pages: 670
Release: 2020-06-26
ISBN 10: 3030474119
ISBN 13: 9783030474119
Language: EN, FR, DE, ES & NL

Recent Advances in Intelligent Systems and Smart Applications Book Review:

This book explores the latest research trends in intelligent systems and smart applications. It presents high-quality empirical and review studies focusing on various topics, including information systems and software engineering, knowledge management, technology in education, emerging technologies, and social networks. It provides insights into the theoretical and practical aspects of intelligent systems and smart applications.

Multi Sensor Data Fusion with MATLAB

Multi Sensor Data Fusion with MATLAB
Author: Jitendra R. Raol
Publsiher: CRC Press
Total Pages: 568
Release: 2009-12-16
ISBN 10: 9781439800058
ISBN 13: 1439800057
Language: EN, FR, DE, ES & NL

Multi Sensor Data Fusion with MATLAB Book Review:

Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering. After presenting several useful strategies and algorithms for DF and tracking performance, the book evaluates DF algorithms, software, and systems. It next covers fuzzy logic, fuzzy sets and their properties, fuzzy logic operators, fuzzy propositions/rule-based systems, an inference engine, and defuzzification methods. It develops a new MATLAB graphical user interface for evaluating fuzzy implication functions, before using fuzzy logic to estimate the unknown states of a dynamic system by processing sensor data. The book then employs principal component analysis, spatial frequency, and wavelet-based image fusion algorithms for the fusion of image data from sensors. It also presents procedures for combing tracks obtained from imaging sensor and ground-based radar. The final chapters discuss how DF is applied to mobile intelligent autonomous systems and intelligent monitoring systems. Fusing sensors’ data can lead to numerous benefits in a system’s performance. Through real-world examples and the evaluation of algorithmic results, this detailed book provides an understanding of MSDF concepts and methods from a practical point of view. Select MATLAB programs are available for download on www.crcpress.com

Data Fusion for Situation Monitoring Incident Detection Alert and Response Management

Data Fusion for Situation Monitoring  Incident Detection  Alert and Response Management
Author: E. Shahbazian,G. Rogova,P. Valin
Publsiher: IOS Press
Total Pages: 832
Release: 2006-03-02
ISBN 10: 1607501244
ISBN 13: 9781607501244
Language: EN, FR, DE, ES & NL

Data Fusion for Situation Monitoring Incident Detection Alert and Response Management Book Review:

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).

Harbour Protection Through Data Fusion Technologies

Harbour Protection Through Data Fusion Technologies
Author: Elisa Shahbazian,Galina Rogova,Michael J. de Weert
Publsiher: Springer Science & Business Media
Total Pages: 360
Release: 2008-12-03
ISBN 10: 1402088833
ISBN 13: 9781402088834
Language: EN, FR, DE, ES & NL

Harbour Protection Through Data Fusion Technologies Book Review:

An Advanced Research Workshop (ARW) “Data Fusion Technologies for Harbour Protection” was held in Tallinn, Estonia 27 June–1 July, 2005. This workshop was organized by request of the NATO Security Through Science Programme and the Defence Investment Division. An ARW is one of many types of funded group support mechanisms established by the NATO Science Committee to contribute to the critical assessment of existing knowledge on new important topics, to identify directions for future research, and to promote close working relationships between scientists from different countries and with different professional experiences. The NATO Science Committee was approved at a meeting of the Heads of Government of the Alliance in December 1957, subsequent to the 1956 recommendation of “Three Wise Men” – Foreign Ministers Lange (Norway), Martino (Italy) and Pearson (Canada) on Non-Military Cooperation in NATO. The NATO Science Committee established the NATO Science Programme in 1958 to encourage and support scientific collaboration between individual scientists and to foster scientific development in its member states. In 1999, following the end of the Cold War, the Science Programme was transformed so that support is now devoted to collaboration between Partner-country and NATO-country scientists or to contributing towards research support in Partner countries. Since 2004, the Science Programme was further modified to focus exclusively on NATO Priority Research Topics (i. e. Defence Against Terrorism or Countering Other Threats to Security) and also preferably on a Partner country priority area.

Autonomous Robotic Systems

Autonomous Robotic Systems
Author: Changjiu Zhou,Darío Maravall,Da Ruan
Publsiher: Physica
Total Pages: 500
Release: 2013-03-20
ISBN 10: 3790817678
ISBN 13: 9783790817676
Language: EN, FR, DE, ES & NL

Autonomous Robotic Systems Book Review:

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)

Multiple Classifier Systems

Multiple Classifier Systems
Author: Michal Haindl,Josef Kittler,Fabio Roli
Publsiher: Springer
Total Pages: 524
Release: 2007-06-21
ISBN 10: 3540725237
ISBN 13: 9783540725237
Language: EN, FR, DE, ES & NL

Multiple Classifier Systems Book Review:

This book constitutes the refereed proceedings of the 7th International Workshop on Multiple Classifier Systems, MCS 2007, held in Prague, Czech Republic in May 2007. It covers kernel-based fusion, applications, boosting, cluster and graph ensembles, feature subspace ensembles, multiple classifier system theory, intramodal and multimodal fusion of biometric experts, majority voting, and ensemble learning.

Theory Methodology Tools and Applications for Modeling and Simulation of Complex Systems

Theory  Methodology  Tools and Applications for Modeling and Simulation of Complex Systems
Author: Lin Zhang,Xiao Song,Yunjie Wu
Publsiher: Springer
Total Pages: 709
Release: 2016-09-21
ISBN 10: 9811026661
ISBN 13: 9789811026669
Language: EN, FR, DE, ES & NL

Theory Methodology Tools and Applications for Modeling and Simulation of Complex Systems Book Review:

This four-volume set (CCIS 643, 644, 645, 646) constitutes the refereed proceedings of the 16th Asia Simulation Conference and the First Autumn Simulation Multi-Conference, AsiaSim / SCS AutumnSim 2016, held in Beijing, China, in October 2016. The 265 revised full papers presented were carefully reviewed and selected from 651 submissions. The papers in this second volume of the set are organized in topical sections on HMI and robot simulations; modeling and simulation for intelligent manufacturing; military simulation; visualization and virtual reality.

Advances and Applications of DSmT for Information Fusion Vol IV

Advances and Applications of DSmT for Information Fusion  Vol  IV
Author: Florentin Smarandache, Jean Dezert
Publsiher: Infinite Study
Total Pages: 506
Release: 2015-03-01
ISBN 10: 1599733242
ISBN 13: 9781599733241
Language: EN, FR, DE, ES & NL

Advances and Applications of DSmT for Information Fusion Vol IV Book Review:

The fourth volume on Advances and Applications of Dezert-Smarandache Theory (DSmT) for information fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics. The contributions (see List of Articles published in this book, at the end of the volume) have been published or presented after disseminating the third volume (2009, http://fs.gallup.unm.edu/DSmT-book3.pdf) ininternational conferences, seminars, workshops and journals.

Fusion Methodologies in Crisis Management

Fusion Methodologies in Crisis Management
Author: Galina Rogova,Peter Scott
Publsiher: Springer
Total Pages: 549
Release: 2016-01-21
ISBN 10: 3319225278
ISBN 13: 9783319225272
Language: EN, FR, DE, ES & NL

Fusion Methodologies in Crisis Management Book Review:

The book emphasizes a contemporary view on the role of higher level fusion in designing crisis management systems, and provide the formal foundations, architecture and implementation strategies required for building dynamic current and future situational pictures, challenges of, and the state of the art computational approaches to designing such processes. This book integrates recent advances in decision theory with those in fusion methodology to define an end-to-end framework for decision support in crisis management. The text discusses modern fusion and decision support methods for dealing with heterogeneous and often unreliable, low fidelity, contradictory, and redundant data and information, as well as rare, unknown, unconventional or even unimaginable critical situations. Also the book examines the role of context in situation management, cognitive aspects of decision making and situation management, approaches to domain representation, visualization, as well as the role and exploitation of the social media. The editors include examples and case studies from the field of disaster management.

Proceedings of Second International Conference on Sustainable Expert Systems

Proceedings of Second International Conference on Sustainable Expert Systems
Author: Subarna Shakya,K.-L. Du,Wang Haoxiang
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 9811676577
ISBN 13: 9789811676574
Language: EN, FR, DE, ES & NL

Proceedings of Second International Conference on Sustainable Expert Systems Book Review:

This book features high-quality research papers presented at the 2nd International Conference on Sustainable Expert Systems (ICSES 2021), held in Nepal during September 1718, 2021. The book focusses on the research information related to artificial intelligence, sustainability, and expert systems applied in almost all the areas of industries, government sectors, and educational institutions worldwide. The main thrust of the book is to publish the conference papers that deal with the design, implementation, development, testing, and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems.

Data Fusion

Data Fusion
Author: Veres Albert,Erôss Aba
Publsiher: Unknown
Total Pages: 108
Release: 2017
ISBN 10: 9781536127201
ISBN 13: 1536127205
Language: EN, FR, DE, ES & NL

Data Fusion Book Review:

In the first chapter, Sergey A Sakulin, Ph.D. and Alexander N Alfimtsev, Ph.D. discuss fuzzy integral, a powerful metaoperator, and its applications. In the second chapter, Bruno G Botelho and Adriana S Franca discuss the concept of data fusion and how it might be applied in different areas of food analysis to improve the information range regarding samples. In the third and final chapter, Carlo Quaranta and Giorgio Balzarotti compare a new data fusion equation with an approach that has been familiarised in previous literature.

Highway Travel Time Estimation With Data Fusion

Highway Travel Time Estimation With Data Fusion
Author: Francesc Soriguera Martí
Publsiher: Springer
Total Pages: 212
Release: 2015-11-30
ISBN 10: 3662488582
ISBN 13: 9783662488584
Language: EN, FR, DE, ES & NL

Highway Travel Time Estimation With Data Fusion Book Review:

This monograph presents a simple, innovative approach for the measurement and short-term prediction of highway travel times based on the fusion of inductive loop detector and toll ticket data. The methodology is generic and not technologically captive, allowing it to be easily generalized for other equivalent types of data. The book shows how Bayesian analysis can be used to obtain fused estimates that are more reliable than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology adds value and obtains the maximum (in terms of travel time estimation) from the available data, without recurrent and costly requirements for additional data. The application of the algorithms to empirical testing in the AP-7 toll highway in Barcelona proves that it is possible to develop an accurate real-time, travel-time information system on closed-toll highways with the existing surveillance equipment, suggesting that highway operators might provide their customers with such an added value with little additional investment in technology.

Information Quality in Information Fusion and Decision Making

Information Quality in Information Fusion and Decision Making
Author: Éloi Bossé,Galina L. Rogova
Publsiher: Springer
Total Pages: 620
Release: 2019-04-02
ISBN 10: 303003643X
ISBN 13: 9783030036430
Language: EN, FR, DE, ES & NL

Information Quality in Information Fusion and Decision Making Book Review:

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. Information fusion is the process of gathering, processing, and combining large amounts of information from multiple and diverse sources, including physical sensors to human intelligence reports and social media. That data and information may be unreliable, of low fidelity, insufficient resolution, contradictory, fake and/or redundant. Sources may provide unverified reports obtained from other sources resulting in correlations and biases. The success of the fusion processing depends on how well knowledge produced by the processing chain represents reality, which in turn depends on how adequate data are, how good and adequate are the models used, and how accurate, appropriate or applicable prior and contextual knowledge is. By offering contributions by leading experts, this book provides an unparalleled understanding of the problem of information quality in information fusion and decision-making for researchers and professionals in the field.

Intelligent Data Mining and Fusion Systems in Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture
Author: Xanthoula Eirini Pantazi,Dimitrios Moshou,Dionysis Bochtis
Publsiher: Academic Press
Total Pages: 330
Release: 2019-10-08
ISBN 10: 0128143924
ISBN 13: 9780128143926
Language: EN, FR, DE, ES & NL

Intelligent Data Mining and Fusion Systems in Agriculture Book Review:

Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture Addresses AI use in weed management, disease detection, yield prediction and crop production Utilizes case studies to provide real-world insights and direction