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Road-Users Classification Utilizing Roadside Light Detection and Ranging Data
Modeling Virtual Sensor for Engine Nitrogen Oxides Using Variants of Artificial Neural Networks
Security in Wireless Powertrain Networking through Machine Learning Localization
Micro Gesture Recognition of the Millimeter-Wave Radar Based on Multi-branch Residual Neural Network
Genesis of the “Automotive Homologation 4.0” Framework for India
Occupant Injury Severity Prediction in Road Traffic Accidents Using Machine Learning Techniques
A Machine Learning Approach for Automating Software Code Review
Comparing cities’ cycling patterns using online shared bicycle maps
Decisions in Highly Automated Vehicles for Passing Urban Intersections with Support Vector Machines
Process-Monitoring-for-Quality - A Step Forward in the Zero Defects Vision
The Artificial Intelligence Application Strategy in Powertrain and Machine Control
Using Machine Learning to Guide Simulations Over Unique Samples from Trip Profiles
Machine-Learning-Based Modelling of Electric Powertrain Noise Control Treatments
Automotive Hood Design Based on Machine Learning and Structural Design Optimization
Research on Autonomous Driving Decision Based on Improved Deep Deterministic Policy Algorithm
Steering Performance Calculator using Machine Learning Techniques
Automatic and Interpretable Predictive Maintenance System
Use of Machine Learning for Real-Time Non-Linear Model Predictive Engine Control
Early Detection of Engine Anomalies - A Case Study for AI-Based Integrated Vehicle Health Management
Comparison of CNN and LSTM for Modeling Virtual Sensors in an Engine
Transfer Learning-Based Neural Network for Natural Frequency Prediction of Linear Dynamic Systems
IC Engine Dynamic oil Life Prediction Using Machine Learning Approach
Data Synthesis Methods for Parking-Slot Detection
Use of convolutional neural network for sensor modeling and on-board diagnostic
Next-Gen Maintenance Framework for Urban Air Mobility Vehicles
On-Board Predictive Maintenance with Machine Learning
A Neural Network Based Methodology for Virtual Sensor Development
A Hybrid Classification of Driver’s Style and Skill Using Fully-Connected Deep Neural Networks
Phase Optimized Skeletal Mechanisms in a Stochastic Reactor Model for Engine Simulation
Vibration-based Damage Detection in Bridges via Machine Learning
Anomaly Detection Using Convolutional Neural Network and Generative Adversarial Network
Weather Classification for Lidar based on Deep Learning
Executable Digital Twin - Prevent the Early Failure of a Truck Anchorage Using Smart Virtual Sensors
Technology from Highly Automated Driving to Improve Active Pedestrian Protection Systems
Machine Health Prediction Enhancement Using Machine Learning
Selection of Surrogate Models with Metafeatures
Developing Safe Software for Autonomous Systems