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Machine learning
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Anwendungen akustischer Ereigniserkennung im Automobil
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving
Overview of Catenary Detection of Electrified Railways
Automatic Geographic Enrichment by Multi-modal Bike Sensing
Catenary Support Components and Their Characteristics in High-Speed Railways
Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry
Combat vehicle classification using machine learning
Artificial Intelligence Empowered Models for UAV Communications
An architectural framework for self-configuration and self-improvement at runtime
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Intelligent System for Railway Joint Diagnostics
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots