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Greenhouse gas emission prediction on road network using deep sequence learning
Acoustic Monitoring of Rail Faults in the German Railway Network
Physics-informed regression of implicitly-constrained robot dynamics
EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically
Automotive fault diagnosis - part II: a distributed agent diagnostic system
New Text Detection Technique Using Machine Learning Architecture
Neural network full-body human predictive models and their use for coordinated robot motion planning
A methodology for photometric validation in vehicles visual interactive systems
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network
A Compact Orthomode Transducer in K-Band for Satellite Communications
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Machine Learning Technologies in Internet of Vehicles
Unconstrained licence plate and text localization and recognition
Envisioning a New Command and Control (C2) Architecture for All-Domain Operations
Kernel regression for travel time estimation via convex optimization
Sampling-based exploration strategies for mobile robot autonomy
Characterizing Smart Grid Events Using Clustering Methods
Intelligence After Next: Breaking Past AI's Confirmation Bias
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
3D vehicle sensor based on monocular vision
UUV teams, control from a biological perspective
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Developing an Air Force Retention Early Warning System: Concept and Initial Prototype
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Pioneering Data Quality and Security in Smart Grid
Evolutionary Computation Methods for Helicopter Loads Estimation
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Traffic Light Control and Machine Learning: A Systematic Mapping Review
Lane change intent analysis using robust operators and sparse Bayesian learning
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Extraction of Main Urban Roads from High Resolution Satellite Images by Machine Learning
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose
Exploring Image-Based Classification to Detect Vehicle Make and Model. Final Report
Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning