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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
Physics-informed regression of implicitly-constrained robot dynamics
Pattern recognition for nondestructive evaluation
Optimizing inventory control through a data-driven and model-independent framework
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose
Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Non-linear associations between the built environment and the physical activity of children
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Neural network full-body human predictive models and their use for coordinated robot motion planning
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Network Control Systems for Large-Scale Constellations
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Multi-objective optimization of low-thrust propulsion systems for multi-target missions using ANNs
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2
Modeling time-of-day car use behavior: A Bayesian network approach
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Machine Learning Strategy for Wall Heat Flux Prediction in Aerodynamic Heating
Machine learning regression models for prediction of multiple ionospheric parameters
Machine learning methods for nonlinear dimensionality reduction of the thermospheric density field
Machine learning estimates of plug-in hybrid electric vehicle utility factors
Machine Learning Based Approach to a Crane Load Estimation
Machine learning approach to ship fuel consumption: A case of container vessel
Machine learning approach for detection of plasma depletions from TEC