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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