- eBook:Machine Learning and Data Mining in Aerospace Technology
- Author:Aboul Ella Hassanien, Ashraf Darwish, Hesham El-Askary
- Edition:1st ed. 2020 Edition
- Data:July 5, 2019
- Pages:232 pages
- Format:PDF, ePUB
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.