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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.
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.
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