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Research on Vulnerable Road User Detection Algorithm based on Improved Deep Learning
Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning
Comfort Improvement for Autonomous Vehicles Using Reinforcement Learning with In-Situ Human Feedback
A Method of Reporting and Prioritizing Faults for Aircraft Downtime Reduction
Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
Predicting Distillation Properties of Gasoline Fuel Blends using Machine Learning
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
A Crack Detection Method for Self-Piercing Riveting Button Images through Machine Learning
Subway Obstacle Detection System Based on Multi-sensor Data Fusion
A Forward Collision Warning System Using Deep Reinforcement Learning
Development of a Camera-Based Driver State Monitoring System for Cost-Effective Embedded Solution
Recognizing Driver Braking Intention with Vehicle Data Using Unsupervised Learning Methods
Research on Subjective Rating Prediction Method for Ride Comfort with Learning
Sensitivity Analysis of Reinforcement Learning-Based Hybrid Electric Vehicle Powertrain Control
Prediction of ECN Spray—A Characteristics Using Machine Learning
Multi-detection Head of Point Cloud Based on Sample Feature Grouping
“Ease of Driving” Road Classification for Night-time Driving Conditions
Method and System for Creating Digital Twin of a Sensor for a Vehicle in Real Time
A Hybrid System and Method for Estimating State of Charge of a Battery
Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach
Machine Learning-Aided Management of Motorway Facilities Using Single-Vehicle Accident Data
Explosion of Undried and Dried Rice Flour with Ignition Time of 20 ms
Sustainable Finished Product Optimization on Quality Response and Attitudinal Parameters
Machine Learning for Fuel Property Predictions: A Multi-Task and Transfer Learning Approach
Object Detection Method of Autonomous Vehicle Based on Lightweight Deep Learning
Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites
Backseat Driver - Driver Advisory System
Automatic Identification and Categorize Zone of RFID Reading in Warehouse Management System
Design of a Drag and Lift Type Blade for Power Generation via Air Turbine
Changeover Monitoring Tool as the Measure of Time Loss in Automotive Production
Effect of Tool Engagement on Cutting Force for Different Step Over in Milling AISI P20 Tool Steel
Numerical Analysis of Vibration for Flexible Frame of a Lightweight Electric Vehicle
Machine Learning for Rocket Propulsion Health Monitoring
Manufacturing Transformational Change Through Asset Orchestration
Practical Approaches for Detecting DoS Attacks on CAN Network
Optimisation of Injection Moulding Process Parameter Using Taguchi and Desirability Function