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Machine Learning and Data Mining in Aerospace Technology

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Cover of 'Machine Learning and Data Mining in Aerospace Technology'

Table of Contents

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    Book Overview
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    Chapter 1 Tensor-Based Anomaly Detection for Satellite Telemetry Data
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    Chapter 2 Machine Learning in Satellites Monitoring and Risk Challenges
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    Chapter 3 Formalization, Prediction and Recognition of Expert Evaluations of Telemetric Data of Artificial Satellites Based on Type-II Fuzzy Sets
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    Chapter 4 Intelligent Health Monitoring Systems for Space Missions Based on Data Mining Techniques
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    Chapter 5 Design, Implementation, and Validation of Satellite Simulator and Data Packets Analysis
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    Chapter 6 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
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    Chapter 7 Data Analytics Using Satellite Remote Sensing in Healthcare Applications
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    Chapter 8 Design, Implementation, and Testing of Unpacking System for Telemetry Data of Artificial Satellites: Case Study: EGYSAT1
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    Chapter 9 Multiscale Satellite Image Classification Using Deep Learning Approach
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    Chapter 10 Security Approaches in Machine Learning for Satellite Communication
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    Chapter 11 Machine Learning Techniques for IoT Intrusions Detection in Aerospace Cyber-Physical Systems
Attention for Chapter 6: 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
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