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Maschinelles Lernen
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Extraction of Main Urban Roads from High Resolution Satellite Images by Machine Learning
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach
Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach
A Grey Box Model Approach for the Prediction of Tire Energy Loss
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Network Control Systems for Large-Scale Constellations
Small Satellites and Innovations in Terminal and Teleport Design, Deployment, and Operation
Acoustic Monitoring of Rail Faults in the German Railway Network
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches