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Maschinelles Lernen
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Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Intelligent System for Railway Joint Diagnostics
Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network
Future Autonomous Transportation: Challenges and Prospective Dimensions
EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically
Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Characterizing Smart Grid Events Using Clustering Methods
Catenary Support Components and Their Characteristics in High-Speed Railways
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Artificial Intelligence Empowered Models for UAV Communications