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A camera self-health-maintenance system based on sensor artificial intelligence
A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
A New Optimal Design of Stable Feedback Control of Two-Wheel System Based on Reinforcement Learning
An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments
An online self-organizing neuro-fuzzy control for autonomous underwater vehicles
A Numerical Methodology for the Multi-objective Optimization of the DI Diesel Engine Combustion
Application of a Digital Twin Virtual Engineering Tool for Ground Vehicle Maintenance Forecasting
A Review and Outlook on Energy Consumption Estimation Models for Electric Vehicles
Artificial Intelligence for Damage Detection in Automotive Composite Parts: A Use Case
Artificial Intelligence in Aeronautical Systems: Statement of Concerns
A self-organizing map based navigation system for an underwater robot
Automatic Parameterization of Motion and Force Controlled Robot Skills
Capturing the spirit of knowledge management
CAVTest: A Closed Connected and Automated Vehicles Test Field of Chang’an University in China
Clustering-Based Trajectory Prediction of Vehicles Interacting with Vulnerable Road Users
Comparison of clustering techniques for hybrid rocket fuel combustion data
Comparison of CNN and LSTM for Modeling Virtual Sensors in an Engine
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Controller design for quadrotor UAVs using reinforcement learning
Control Model of Automated Driving Systems Based on SOTIF Evaluation
Crash Safety Design for Lithium-ion Vehicle Battery Module with Machine Learning
Creating an architecture to deploy knowledge management at your organization
Cyber-Physical Systems Security Engineering Plan (CPSSEP)
Data-Driven Set Based Concurrent Engineering Method for Multidisciplinary Design Optimization
Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes
Developing Prediction Based Algorithms for Energy and Exergy Flow
Driver’s Response Prediction Using Naturalistic Data Set