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Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Combining learning and structure for robotic manipulation
Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network
Applicability of machine learning in uncertainty quantification of turbulence models
Real-Time Traffic Sign Detection Under Foggy Condition
Optimizing inventory control through a data-driven and model-independent framework
Applicability of machine learning in uncertainty quantification of turbulence models
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Verification of Image-Based Neural Network Controllers Using Generative Models
Latent State-Space Models for Control
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Enabling Limited Resource-Bounded Disjunction in Scheduling
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft