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Remaining Useful Life Prediction of Lithium-ion Battery Based on Data-Driven and Multi-Model Fusion
Deep Self-Supervised Learning Models for Automotive Systems
Autonomous Quadcopter for Building Construction Monitoring
The Detection of Visual Distraction using Vehicle and Driver-Based Sensors
Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods
Reinforcement Learning Technique for Parameterization in Powertrain Controls
THC Concentration Estimation Model using FTIR Spectrum
No Cost Autonomous Vehicle Advancements in CARLA through ROS
A Comparative Study of Recurrent Neural Network Architectures for Battery Voltage Prediction
Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective
Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning
Deep Double Q-Learning Method for CAVs Traffic Signal Control
Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality
Nonlinear Control of a Ground Vehicle using Data-Driven Dynamic Models
Hybrid Modeling of a Catalyst with Autoencoder Based Selection Strategy
Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach
A Hybrid Method for Automotive Entity Recognition
Reinforcement Learning Based Parking Space Egress for Autonomous Driving
Driver Distraction Detection with a Two-stream Convolutional Neural Network
Predictive Model Development Using Machine Learning for Engine Cranktrain System
Prediction of Hybrid Electric Bus Speed Using Deep Learning Method
Machine Learning based Operation Strategy for EV Vacuum Pump
Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study
Research on Vulnerable Road User Detection Algorithm based on Improved Deep Learning
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm
Personalized Driver Workload Estimation in Real-World Driving
Development & Testing of a Camera-Based Driver Monitoring System
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
A Method of Reporting and Prioritizing Faults for Aircraft Downtime Reduction
A Forward Collision Warning System Using Deep Reinforcement Learning
Subway Obstacle Detection System Based on Multi-sensor Data Fusion
Predicting Distillation Properties of Gasoline Fuel Blends using Machine Learning
Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils