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Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Introduction to the Virtual Collection on Machine Learning in Aerospace
Federated Learning for Spanish Ports as an Aid to Digitization
Progressive Bayesian Neural Networks
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Generalizability of Code Clone Detection on CodeBERT
Optimal Signal Timing of Single Intersection for Traffic Emission Control
Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Parareal with a learned coarse model for robotic manipulation
Run Time Assured Reinforcement Learning for Safe Satellite Docking
Maintenance Strategies Overlook for Devices Under Operation
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Modeling of aircraft fuel consumption using machine learning algorithms
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Selecting Minimal Motion Primitive Libraries with Genetic Algorithms
Machine Learning Based Approach to a Crane Load Estimation
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Optimizing inventory control through a data-driven and model-independent framework
Applicability of machine learning in uncertainty quantification of turbulence models
Prefetch and Push Method of Flight Information Based on Migration Workflow
Applicability of machine learning in uncertainty quantification of turbulence models
Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains
Deep reinforcement learning for stochastic last-mile delivery with crowdshipping
Swarm Intelligence in Cooperative Environments: -Step Dynamic Tree Search Algorithm Overview
Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Closed-loop active flow control of a non-steady flow field in a highly-loaded compressor cascade
Verification of Image-Based Neural Network Controllers Using Generative Models
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Enabling Limited Resource-Bounded Disjunction in Scheduling
Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Simplified Approach for Modeling Conflict Resolution Behavior of Human Pilot
Reduced-order models for aerodynamic applications, loads and MDO
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation