Machine Learning and Data Mining in Aerospace Technology is popular PDF and ePub book, written by Aboul Ella Hassanien in 2019-07-02, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Machine Learning and Data Mining in Aerospace Technology can be Read Online from any device for your convenience.
Machine Learning and Data Mining in Aerospace Technology Book PDF Summary
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.
Detail Book of Machine Learning and Data Mining in Aerospace Technology PDF
- Author : Aboul Ella Hassanien
- Release : 02 July 2019
- Publisher : Springer
- ISBN : 9783030202125
- Genre : Technology & Engineering
- Total Page : 232 pages
- Language : English
- PDF File Size : 20,8 Mb
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