Machine learning and data mining in aerospace technology. ([2020])

• Record Type: Book
• Further Information: Note: Aboul Ella Hassanien, Ashraf Darwish, Hesham El-Askary, editors.
• Other Names: Hassanien, Aboul Ella; Darwish, Ashraf; El-Askary, Hesham
• Contents: Tensor-based anomaly detection for satellite telemetry data -- Machine learning in satellites monitoring and risk challenges -- Formalization, prediction and recognition of expert evaluations of telemetric data of artificial satellites based on type-II fuzzy sets -- Intelligent health monitoring systems for space missions based on data mining techniques -- Design, implementation, and validation of satellite simulator and data packets analysis -- Crop yield estimation using decision trees and random forest machine learning algorithms on data from terra (EOS AM-1) & aqua (EOS PM-1) satellite data -- Data analytics using satellite remote sensing in healthcare applications -- Design, Implementation, and Testing of Unpacking System for Telemetry Data of Artificial Satellites: Case Study: EGYSAT1 -- Multiscale Satellite Image Classification using Deep Learning Approach -- Security approaches in machine learning for satellite communication -- Machine learning techniques for IoT intrusions detection in aerospace cyber physical systems.
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource, illutrations
• Subjects: 006.3/1; Machine learning; Data mining; Electronic books
• Languages: English
• ISBNs: 9783030202125; 3030202127
• Related ISBNs: 9783030202118
• Notes: Note: Description based on online resource; title from digital title page (viewed on August 26, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.