Machine Learning and Data Mining in Aerospace Technology - Couverture rigide

 
9783030202118: Machine Learning and Data Mining in Aerospace Technology
Couverture rigide
ISBN 10 : 3030202119 ISBN 13 : 9783030202118
Editeur : Springer Nature Switzerland AG, 2019

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2019
Langue
anglais
ISBN 10 
3030202119
ISBN 13 
9783030202118
Reliure
Relié
Nombre de pages
232
Éditeur
Hassanien Aboul Ella, Darwish Ashraf, El-Askary Hesham
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Allemagne

Autres éditions populaires du même titre

9783030202149: Machine Learning and Data Mining in Aerospace Technology

Edition présentée

ISBN 10 :  3030202143 ISBN 13 :  9783030202149
Editeur : Springer, 2020
Couverture souple