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learning
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A purely reactive navigation scheme for dynamic environments using Case-Based Reasoning
Driver Distraction Detection Using Semi-Supervised Machine Learning
Personalized Driver Workload Estimation in Real-World Driving
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm
Development & Testing of a Camera-Based Driver Monitoring System
Predicting Distillation Properties of Gasoline Fuel Blends using Machine Learning
The POP learning algorithms: reducing work in identifying fuzzy rules
The path inference filter: Model-based low-latency map matching of probe vehicle data
Task segmentation - an approach to simulator task fidelity
A Method of Reporting and Prioritizing Faults for Aircraft Downtime Reduction
A method of optimal shift control based on pattern recognition and learning algorithm
Subway Obstacle Detection System Based on Multi-sensor Data Fusion
A Forward Collision Warning System Using Deep Reinforcement Learning
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Comfort Improvement for Autonomous Vehicles Using Reinforcement Learning with In-Situ Human Feedback
Traffic signal networks simulator with learning emotional algorithm
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
“Ease of Driving” Road Classification for Night-time Driving Conditions
Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
Research on Subjective Rating Prediction Method for Ride Comfort with Learning
A Crack Detection Method for Self-Piercing Riveting Button Images through Machine Learning
Development of a Camera-Based Driver State Monitoring System for Cost-Effective Embedded Solution
A Deep Learning Strategy For On-Orbit Servicing Via Space Robotic Manipulator
Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic
An Incremental Framework for Video-Based Traffic Sign Detection, Tracking, and Recognition
Backseat Driver - Driver Advisory System
Learning and adaptation in an airborne laser fire controller
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Manufacturing Transformational Change Through Asset Orchestration
Promoting Environmentally Benign Electric Vehicles
The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations trained on Scarce Data
Machine Learning for Fuel Property Predictions: A Multi-Task and Transfer Learning Approach
Recognizing Driver Braking Intention with Vehicle Data Using Unsupervised Learning Methods
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Prediction of ECN Spray—A Characteristics Using Machine Learning