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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 124 pages. 9.25x6.10x0.40 inches. In Stock.
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Taschenbuch. Zustand: Neu. Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks | Ahmed Abdelgawad (u. a.) | Taschenbuch | Lecture Notes in Electrical Engineering | xvi | Englisch | 2014 | Springer | EAN 9781489987068 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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.
Sprache: Englisch
Verlag: INSTITUTION OF ENGINEERING & T, 2019
ISBN 10: 178561584X ISBN 13: 9781785615849
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In den WarenkorbGebunden. Zustand: 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.
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.