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Transfer Learning-Based Neural Network for Natural Frequency Prediction of Linear Dynamic Systems
Comparison of CNN and LSTM for Modeling Virtual Sensors in an Engine
IC Engine Dynamic oil Life Prediction Using Machine Learning Approach
Process-Monitoring-for-Quality - A Step Forward in the Zero Defects Vision
Automotive Hood Design Based on Machine Learning and Structural Design Optimization
Machine Learning-Based Turbine Vane Position Estimation for Advanced Engine Airpath Control
Early Detection of Engine Anomalies - A Case Study for AI-Based Integrated Vehicle Health Management
A Neural Network Based Methodology for Virtual Sensor Development
Machine-Learning-Based Modelling of Electric Powertrain Noise Control Treatments
On-Board Predictive Maintenance with Machine Learning
Improvement of Knock Onset Determination Based on Supervised Deep Learning Using Data Filtering
Research on Autonomous Driving Decision Based on Improved Deep Deterministic Policy Algorithm
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
Automatic and Interpretable Predictive Maintenance System
School Bus Safety: Enhanced Security through People Counter and Face Recognition System
Machine Learning Based Flight State Prediction for Improving UAV Resistance to Uncertainty
Real-Time RCS Extracted Features for Over-ridable Object Classification
Data Synthesis Methods for Parking-Slot Detection
Weather Classification for Lidar based on Deep Learning
Executable Digital Twin - Prevent the Early Failure of a Truck Anchorage Using Smart Virtual Sensors
Use of convolutional neural network for sensor modeling and on-board diagnostic
Next-Gen Maintenance Framework for Urban Air Mobility Vehicles
Machine Health Prediction Enhancement Using Machine Learning
A Hybrid Classification of Driver’s Style and Skill Using Fully-Connected Deep Neural Networks
Control Model of Automated Driving Systems Based on SOTIF Evaluation
Technology from Highly Automated Driving to Improve Active Pedestrian Protection Systems
ERRATUM: Classification of Contact Forces in Human-Robot Collaborative Manufacturing Environments
Self-Learning Control Strategy for Electrified Off-Highway Machines to Optimize Energy Efficiency
Using Deep Learning to Predict the Engine Operating Point in Real-Time
Research on Garbage Recognition of Intelligent Sweeper Vehicle Based on Improved PSPNet Algorithm
Anomaly Detection Using Convolutional Neural Network and Generative Adversarial Network
Distilled Routing Transformer for Driving Behavior Prediction
Selection of Surrogate Models with Metafeatures
Developing Safe Software for Autonomous Systems