Articles liés à Machine Learning and Data Mining in Aerospace Technology
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.
Acheter neuf
Afficher cet article
EUR 180,07
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délais
Résultats de recherche pour Machine Learning and Data Mining in Aerospace Technology
Image d'archives
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
Edité par
Springer, 2019
ISBN 10 : 3030202119
ISBN 13 : 9783030202118
Ancien ou d'occasion
Couverture rigide
Edition originale
Vendeur : SpringBooks, Berlin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Very Good. 1. Auflage. unread, some shelfwear. N° de réf. du vendeur CE-2302C-ADMIRAL-04-1000XS
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Machine Learning and Data Mining in Aerospace Technology
Edité par
Springer, 2019
ISBN 10 : 3030202119
ISBN 13 : 9783030202118
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 35624192
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Machine Learning and Data Mining in Aerospace Technology
Edité par
Springer International Publishing, 2019
ISBN 10 : 3030202119
ISBN 13 : 9783030202118
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores the main concepts, algorithms, and techniques of machine learning and data mining for aerospace technology  Provides essential information on data mining and machine learning for satellite monitoring&nb. N° de réf. du vendeur 300510444
Quantité disponible : Plus de 20 disponibles
Image d'archives
Machine Learning and Data Mining in Aerospace Technology (Studies in Computational Intelligence, 836)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783030202118_new
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Machine Learning and Data Mining in Aerospace Technology
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 35624192-n
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Machine Learning and Data Mining in Aerospace Technology
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 35624192-n
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Machine Learning and Data Mining in Aerospace Technology
Edité par
Springer International Publishing, 2019
ISBN 10 : 3030202119
ISBN 13 : 9783030202118
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : 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. N° de réf. du vendeur 9783030202118
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Machine Learning and Data Mining in Aerospace Technology
Edité par
Springer International Publishing Jul 2019, 2019
ISBN 10 : 3030202119
ISBN 13 : 9783030202118
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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.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. 240 pp. Englisch. N° de réf. du vendeur 9783030202118
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Machine Learning and Data Mining in Aerospace Technology
ISBN 10 : 3030202119
ISBN 13 : 9783030202118
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : 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. N° de réf. du vendeur 9783030202118
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Machine Learning and Data Mining in Aerospace Technology
Edité par
Springer, 2019
ISBN 10 : 3030202119
ISBN 13 : 9783030202118
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 35624192
Quantité disponible : Plus de 20 disponibles