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Overview of Catenary Detection of Electrified Railways
Catenary Support Components and Their Characteristics in High-Speed Railways
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
Intelligent System for Railway Joint Diagnostics
EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Real-Time Traffic Sign Detection Under Foggy Condition
Artificial Intelligence Empowered Models for UAV Communications
New Text Detection Technique Using Machine Learning Architecture
Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network
A Compact Orthomode Transducer in K-Band for Satellite Communications
Pioneering Data Quality and Security in Smart Grid
The Future of Car Automation Field with Smart Driverless Technologies
Vehicular Networks and Autonomous Driving Cars
Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Machine Learning Technologies in Internet of Vehicles
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Traffic Light Control and Machine Learning: A Systematic Mapping Review
Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration
Future Autonomous Transportation: Challenges and Prospective Dimensions
Radar Waveforms and Their Mathematical Models
Target Recognition and Classification Techniques
Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning
Characterizing Smart Grid Events Using Clustering Methods
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach