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Название: Machine Learning and Data Mining in Aerospace Technology
Автор: Hassanien F.E., Darwish A., El-Askary H. (ed.)
Издательство: Springer
Год: 2020
Формат: djvu
Страниц: 236
Размер: 10 mb
Язык: английский
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.