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Scaling uncertainties on asteroid characteristics to prepare datasets for machine learning
Sampling-based exploration strategies for mobile robot autonomy
Robust servo-control for underwater robots using banks of visual filters
Revisiting residential self-selection and travel behavior connection using a double machine learning
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Revealing influences on carsharing users’ trip distance in small urban areas
Research on the air brake system of heavy haul trains based on neural network
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver
Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
Prediction of ionospheric total electron content data using spatio-temporal residual network
Prediction of finger movements using ultrasound images
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Potential of machine learning for prediction of traffic related air pollution