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A Numerical Methodology for the Multi-objective Optimization of the DI Diesel Engine Combustion
Learning IPM - a driving strategy for hybrid electric vehicles learns its lessons
UUV teams, control from a biological perspective
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Evolutionary Computation Methods for Helicopter Loads Estimation
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
A camera self-health-maintenance system based on sensor artificial intelligence
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
THC Concentration Estimation Model using FTIR Spectrum
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning
Improved classification of surface defects for quality control of car body panels
ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot
Simulation of Telemetry Signals of a Car Using Machine Learning
Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study
Comparison of clustering techniques for hybrid rocket fuel combustion data
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
Robot design for space missions using evolutionary computation
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Promoting Environmentally Benign Electric Vehicles
Crash Safety Design for Lithium-ion Vehicle Battery Module with Machine Learning
A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop
Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose