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Machine Learning and Data Mining in Aerospace Technology: 836 (Studies in Computational Intelligence) - Hardcover
Inhaltsangabe
This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the 'eagle eyes' that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites - which can determine satellites' current status and predict their failure based on telemetry data - is one of the most important current issues in aerospace engineering.
This book is divided into three parts, the first of which discusses central problems in the health monitoring of artificial satellites, including tensor-based anomaly detection for satellite telemetry data and machine learning in satellite monitoring, as well as the design, implementation, and validation of satellite simulators. The second part addresses telemetry data analytics and mining problems, while the last part focuses on security issues in telemetry data.
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This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the ‘eagle eyes’ that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites – which can determine satellites’ current status and predict their failure based on telemetry data – is one of the most important current issues in aerospace engineering.
This book is divided into three parts, the first of which discusses central problems in the health monitoring of artificial satellites, including tensor-based anomaly detection for satellite telemetry data and machine learning in satellite monitoring, as well as the design, implementation, and validation of satellite simulators. The second part addresses telemetry data analytics and mining problems, while the last part focuses on security issues in telemetry data.
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Machine Learning and Data Mining in Aerospace Technology (Studies in Computational Intelligence, 836, Band 836) [Hardcover] Hassanien, Aboul Ella; Darwish, Ashraf and El-Askary, Hesham
Anbieter: SpringBooks, Berlin, Deutschland
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Hardcover. Zustand: Very Good. 1. Auflage. unread, some shelfwear. Artikel-Nr. CE-2302C-ADMIRAL-04-1000XS
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Machine Learning and Data Mining in Aerospace Technology (Studies in Computational Intelligence, 836)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Machine Learning and Data Mining in Aerospace Technology
Verlag:
Springer International Publishing, 2019
ISBN 10: 3030202119
ISBN 13: 9783030202118
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Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the 'eagle eyes' that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites - which can determine satellites' current status and predict their failure based on telemetry data - is one of the most important current issues in aerospace engineering.This book is divided into three parts, the first of which discusses central problems in the health monitoring of artificial satellites, including tensor-based anomaly detection for satellite telemetry data and machine learning in satellite monitoring, as well as the design, implementation, and validation of satellite simulators. The second part addresses telemetry data analytics and mining problems, while the last part focuses on security issues in telemetry data. Artikel-Nr. 9783030202118
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Machine Learning and Data Mining in Aerospace Technology
ISBN 10: 3030202119
ISBN 13: 9783030202118
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Hardcover
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Buch. Zustand: Neu. Neuware -This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the ¿eagle eyes¿ that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites ¿ which can determine satellites¿ current status and predict their failure based on telemetry data ¿ is one of the most important current issues in aerospace engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch. Artikel-Nr. 9783030202118
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Machine Learning and Data Mining in Aerospace Technology
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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Hardcover. Zustand: Brand New. 232 pages. 9.25x6.25x0.50 inches. In Stock. Artikel-Nr. x-3030202119
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