Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
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Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
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Hardback. Zustand: New. The role of data fusion has been expanding in recent years through the incorporation of pervasive applications, where the physical infrastructure is coupled with information and communication technologies, such as wireless sensor networks for the internet of things (IoT), e-health and Industry 4.0. In this edited reference, the authors provide advanced tools for the design, analysis and implementation of inference algorithms in wireless sensor networks. The book is directed at the sensing, signal processing, and ICTs research communities. The contents will be of particular use to researchers (from academia and industry) and practitioners working in wireless sensor networks, IoT, E-health and Industry 4.0 applications who wish to understand the basics of inference problems. It will also be of interest to professionals, and graduate and PhD students who wish to understand the fundamental concepts of inference algorithms based on intelligent and energy-efficient protocols.
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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
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Zustand: New. pp. 124.
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Zustand: New. pp. 124.
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
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In den WarenkorbPaperback. Zustand: Brand New. 124 pages. 9.25x6.10x0.40 inches. In Stock.
Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
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In den WarenkorbHardback. Zustand: New. The role of data fusion has been expanding in recent years through the incorporation of pervasive applications, where the physical infrastructure is coupled with information and communication technologies, such as wireless sensor networks for the internet of things (IoT), e-health and Industry 4.0. In this edited reference, the authors provide advanced tools for the design, analysis and implementation of inference algorithms in wireless sensor networks. The book is directed at the sensing, signal processing, and ICTs research communities. The contents will be of particular use to researchers (from academia and industry) and practitioners working in wireless sensor networks, IoT, E-health and Industry 4.0 applications who wish to understand the basics of inference problems. It will also be of interest to professionals, and graduate and PhD students who wish to understand the fundamental concepts of inference algorithms based on intelligent and energy-efficient protocols.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Sprache: Englisch
Verlag: Inst of Engineering & Technology, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 300 pages. 9.21x6.14x0.87 inches. In Stock.
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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In den WarenkorbHardcover. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Sprache: Englisch
Verlag: INSTITUTION OF ENGINEERING & T, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
Anbieter: moluna, Greven, Deutschland
EUR 160,43
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In den WarenkorbZustand: New. Inhaltsverzeichnisrnrnn Part I: Sensing model uncertaintyn Chapter 1: Generalized score-tests for decision fusion with sensing model uncertaintyn Chapter 2: Compressed distributed detection and estimationn Chapt.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Institution Of Engineering & Technology Mai 2019, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - This book describes the advanced tools required to design state-of-the-art inference algorithms for inference in wireless sensor networks. Written for the signal processing, communications, sensors and information fusion research communities, it covers the emerging area of data fusion in wireless sensor networks.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
EUR 86,24
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In den WarenkorbZustand: new. Questo è un articolo print on demand.
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In den WarenkorbZustand: new. Questo è un articolo print on demand.
Sprache: Englisch
Verlag: Springer New York Feb 2012, 2012
ISBN 10: 1461413494 ISBN 13: 9781461413493
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - 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. 124 pp. Englisch.
Sprache: Englisch
Verlag: Springer New York Apr 2014, 2014
ISBN 10: 1489987061 ISBN 13: 9781489987068
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - 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. 124 pp. Englisch.
Anbieter: moluna, Greven, Deutschland
EUR 92,27
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In den WarenkorbGebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 noiseUse.
Anbieter: moluna, Greven, Deutschland
EUR 92,27
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 noiseUse.