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