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Emotion Analytics for Advanced Driver Monitoring System
Data-Driven Set Based Concurrent Engineering Method for Multidisciplinary Design Optimization
Reinforcement Learning Based Fast Charging of Electric Vehicle Battery Packs
Using Deep Learning to Predict the Engine Operating Point in Real-Time
Multi-Objective Bayesian Optimization Supported by Deep Gaussian Processes
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
Prediction of Optimized Design Under Dynamic Loads Using Kriging Metamodel
Vehicle-Integrated Camera Based Rider Helmet Detection & Warning System
Toward a Machine Learning Development Lifecycle for Product Certification and Approval in Aviation
Driver’s Response Prediction Using Naturalistic Data Set
Predictive Gearbox Oil Temperature Using Machine Learning
Implementation and Validation of Behavior Cloning Using Scaled Vehicles
“Fitting Data”: A Case Study on Effective Driver Distraction State Classification
Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction
Weighted Distance Metrics for Data Association Problem in Multi-Sensor Fusion
Machine Learning Approach to Predict Bead Height and Width in Wire Arc Additive Manufacturing Sample
A Real-Time Intelligent Speed Optimization Planner Using Reinforcement Learning
Vehicle Forward Collision Warning Based on Improved Deep Neural Network
Policies to Maximize Fuel Economy of Plug-In Hybrids in a Rental Fleet
Machine Learning Based Instrument Cluster Inspection Using Camera
Safety Assurance Concepts for Automated Driving Systems
Towards Self-Learning Energy Management for Optimal PHEV Operation Around Zero Emission Zones
Engine Combustion Hardware Diagnostics in an End-of-Line Cold Test Stand
CAE Performance Prediction Using Machine Learning Model Based On Historical Data
Handling Deviation for Autonomous Vehicles after Learning from Small Dataset
Pedestrian Detection Method Based on Roadside Light Detection and Ranging
MVMDNet: A Weakly-Supervised Multi-View Enhancing Network for Mass Detection in Mammograms
Neural Network Model to Predict the Thermal Operating Point of an Electric Vehicle
Renewal Fuzzy Logic Energy Management System
Three-Dimensional Object Detection Based on Deep Learning in Enclosed Scenario
A Reconfigurable Battery Topology for Cell Balancing
Deployment of OTA-Upgradable Teammate Advanced Drive
A Supervisory Learning Based Two-Wheeler Drive Pattern
Artificial Intelligence in Air Cargo System
Traffic Flow Velocity Prediction Based on Real Data LSTM Model