Machine Learning and Data Mining in Aerospace Technology

Chapter 1 Tensor-Based Anomaly Detection for Satellite Telemetry Data

Chapter 2 Machine Learning in Satellites Monitoring and Risk Challenges

Chapter 3 Formalization, Prediction and Recognition of Expert Evaluations of Telemetric Data of Artificial Satellites Based on Type-II Fuzzy Sets

Chapter 4 Intelligent Health Monitoring Systems for Space Missions Based on Data Mining Techniques

Chapter 5 Design, Implementation, and Validation of Satellite Simulator and Data Packets Analysis

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

Chapter 8 Design, Implementation, and Testing of Unpacking System for Telemetry Data of Artificial Satellites: Case Study: EGYSAT1

Chapter 9 Multiscale Satellite Image Classification Using Deep Learning Approach

Chapter 10 Security Approaches in Machine Learning for Satellite Communication

Chapter 11 Machine Learning Techniques for IoT Intrusions Detection in Aerospace Cyber-Physical Systems