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Vehicular Networks and Autonomous Driving Cars
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Traffic Light Control and Machine Learning: A Systematic Mapping Review
The Future of Car Automation Field with Smart Driverless Technologies
Target Recognition and Classification Techniques
Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning
Real-Time Traffic Sign Detection Under Foggy Condition
Radar Waveforms and Their Mathematical Models
Pioneering Data Quality and Security in Smart Grid
Overview of Catenary Detection of Electrified Railways
New Text Detection Technique Using Machine Learning Architecture
Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry
Machine Learning Technologies in Internet of Vehicles
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
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots
A Compact Orthomode Transducer in K-Band for Satellite Communications