Machine Learning and Data Mining in Aerospace Technology
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 h…
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Produktdetails
Weitere Autoren: Darwish, Ashraf (Hrsg.) / El-Askary, Hesham (Hrsg.)
- ISBN: 978-3-030-20211-8
- EAN: 9783030202118
- Produktnummer: 31907988
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 232 S.
- Masse: H23.5 cm x B15.5 cm 530 g
- Auflage: 1st ed. 2020
- Abbildungen: Farb., s/w. Abb.
- Reihenbandnummer: 836
- Gewicht: 530
- Sonstiges: Research
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