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Machine Learning Approach to Predict Bead Height and Width in Wire Arc Additive Manufacturing Sample
Control Model of Automated Driving Systems Based on SOTIF Evaluation
Distilled Routing Transformer for Driving Behavior Prediction
Emotion Analytics for Advanced Driver Monitoring System
Data-Driven Set Based Concurrent Engineering Method for Multidisciplinary Design Optimization
Fahrerverhaltensvorhersage an Kreisverkehren
Pedestrian Detection Method Based on Roadside Light Detection and Ranging
Multi-Modal Neural Feature Fusion for Pose Estimation and Scene Perception of Intelligent Vehicle
Reinforcement Learning Based Energy Management of Hybrid Energy Storage Systems in Electric Vehicles
Surface EMG for Force Control of Mechanical Hands
“Fitting Data”: A Case Study on Effective Driver Distraction State Classification
Predictive Gearbox Oil Temperature Using Machine Learning
Vehicle-Integrated Camera Based Rider Helmet Detection & Warning System
Multi-Objective Bayesian Optimization Supported by Deep Gaussian Processes
Prediction of Optimized Design Under Dynamic Loads Using Kriging Metamodel
Driver’s Response Prediction Using Naturalistic Data Set
Toward a Machine Learning Development Lifecycle for Product Certification and Approval in Aviation
Handling Deviation for Autonomous Vehicles after Learning from Small Dataset
Engine Combustion Hardware Diagnostics in an End-of-Line Cold Test Stand
Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction
A Supervisory Learning Based Two-Wheeler Drive Pattern
Implementation and Validation of Behavior Cloning Using Scaled Vehicles
Weighted Distance Metrics for Data Association Problem in Multi-Sensor Fusion
Policies to Maximize Fuel Economy of Plug-In Hybrids in a Rental Fleet
Building Responsibility in AI: Transparent AI for Highly Automated Vehicle Systems
Gesture Recognition in an IoT environment: a Machine Learning-based Prototype
Vehicle Forward Collision Warning Based on Improved Deep Neural Network
Localization of Intelligent Vehicles Based on LiDAR: A Review
Machine Learning Based Instrument Cluster Inspection Using Camera
Personalized Human-Machine Cooperative Lane-Changing Based on Machine Learning
Rain-Adaptive Intensity-Driven Object Detection for Autonomous Vehicles
Towards Self-Learning Energy Management for Optimal PHEV Operation Around Zero Emission Zones
Neural Network Model to Predict the Thermal Operating Point of an Electric Vehicle
Renewal Fuzzy Logic Energy Management System
CAE Performance Prediction Using Machine Learning Model Based On Historical Data
A Real-Time Intelligent Speed Optimization Planner Using Reinforcement Learning