Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 203,69
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Machine Learning and Data Mining in Aerospace Technology | Aboul Ella Hassanien (u. a.) | Taschenbuch | viii | Englisch | 2020 | Springer | EAN 9783030202149 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, 2020
ISBN 10: 3030202143 ISBN 13: 9783030202149
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. 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.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 290,17
Anzahl: 1 verfügbar
In den WarenkorbZustand: New. pp. 232.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 304,30
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 240 pages. 9.25x6.10x0.57 inches. In Stock.