Machine Learning and Data Mining in Aerospace Technology

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Aeronautics & Astronautics, General Computing
Cover of the book Machine Learning and Data Mining in Aerospace Technology by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783030202125
Publisher: Springer International Publishing Publication: July 2, 2019
Imprint: Springer Language: English
Author:
ISBN: 9783030202125
Publisher: Springer International Publishing
Publication: July 2, 2019
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Enterprise Resource Planning and Business Intelligence Systems for Information Quality by
Cover of the book Crime, Networks and Power by
Cover of the book Speechwriting in Theory and Practice by
Cover of the book Economic Perspectives on Craft Beer by
Cover of the book Rare Hereditary Cancers by
Cover of the book Poverty Reduction, Education, and the Global Diffusion of Conditional Cash Transfers by
Cover of the book Impact of Long-Period Ground Motions on Structural Design: A Case Study for Bucharest, Romania by
Cover of the book Robust Simulation for Mega-Risks by
Cover of the book Spirits in Transcultural Skies by
Cover of the book The Property Tax in China by
Cover of the book Dynamics of Civil Structures, Volume 2 by
Cover of the book Exploring, Experiencing, and Envisioning Integration in US Arts Education by
Cover of the book Atrial Fibrillation from an Engineering Perspective by
Cover of the book The Demand for International Football Telecasts in the United States by
Cover of the book Brexit, President Trump, and the Changing Geopolitics of Eastern Europe by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy