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Intelligent System for Railway Joint Diagnostics
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
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
Self-supervised learning of primitive-based robotic manipulation
Computational methods for cognitive and cooperative robotics
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
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Learning continuous human-robot interactions from human-human demonstrations
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Unconstrained licence plate and text localization and recognition
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network
A methodology for photometric validation in vehicles visual interactive systems
A Compact Orthomode Transducer in K-Band for Satellite Communications
Envisioning a New Command and Control (C2) Architecture for All-Domain Operations
Machine Learning Technologies in Internet of Vehicles
Intelligence After Next: Breaking Past AI's Confirmation Bias
Characterizing Smart Grid Events Using Clustering Methods
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Sampling-based exploration strategies for mobile robot autonomy
Developing an Air Force Retention Early Warning System: Concept and Initial Prototype
3D vehicle sensor based on monocular vision
Pioneering Data Quality and Security in Smart Grid
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Traffic Light Control and Machine Learning: A Systematic Mapping Review
Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration
Exploring Image-Based Classification to Detect Vehicle Make and Model. Final Report
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose