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Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Gaussian process regression for forecasting battery state of health
Machine Learning Methods to Improve the Accuracy of Industrial Robots
A camera self-health-maintenance system based on sensor artificial intelligence
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
THC Concentration Estimation Model using FTIR Spectrum
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
Applying Machine Learning Tools for Runway Configuration Decision Support
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
ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot
Comparison of clustering techniques for hybrid rocket fuel combustion data
Clustering of paraffin-based hybrid rocket fuels combustion data
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Local anomaly detection in hybrid rocket combustion tests
Real World Applications of AI/ML in Optimizing Airspace Operations
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
Recent efforts in Machine Learning for RANS modelling of separated flows
Radar Waveforms and Their Mathematical Models