Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Prediction of transonic wing buffet pressure based on deep learning
Object Depth Measurement and Filtering from Monocular Images for Unmanned Aerial Vehicles
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat
Anomaly Detection for Agile Satellite Attitude Control System Using Hybrid Deep-Learning Technique
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics