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Recent Advances in Robotic Systems
Recent Advances in Robotic Systems
Estimating wildlife strike costs at US airports: A machine learning approach
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Machine learning approach to ship fuel consumption: A case of container vessel
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Learning efficient haptic shape exploration with a rigid tactile sensor array
A camera self-health-maintenance system based on sensor artificial intelligence
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Gaussian process regression for forecasting battery state of health
THC Concentration Estimation Model using FTIR Spectrum
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Non-linear associations between the built environment and the physical activity of children
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Applying Machine Learning Tools for Runway Configuration Decision Support
Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning
Simulation of Telemetry Signals of a Car Using Machine Learning
ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot
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
Modeling time-of-day car use behavior: A Bayesian network approach
Using explainable machine learning to understand how urban form shapes sustainable mobility
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Real World Applications of AI/ML in Optimizing Airspace Operations
Machine learning estimates of plug-in hybrid electric vehicle utility factors
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
Local anomaly detection in hybrid rocket combustion tests