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learning
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keywords:(learning)
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Autonomous Small Body Science Operations Using Reinforcement Learning
Small-Data-Driven Multitask Computational Guidance for Constrained Impact
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Introduction to the Virtual Collection on Machine Learning in Aerospace
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
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Selecting Minimal Motion Primitive Libraries with Genetic Algorithms
Optimizing inventory control through a data-driven and model-independent framework
Prefetch and Push Method of Flight Information Based on Migration Workflow
Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions
Deep reinforcement learning for stochastic last-mile delivery with crowdshipping
Swarm Intelligence in Cooperative Environments: -Step Dynamic Tree Search Algorithm Overview
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Dynamic Targeting to Improve Earth Science Missions
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Prediction of transonic wing buffet pressure based on deep learning
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Design, Selection, and Evaluation of Reinforcement Learning Single Agents for Ground Target Tracking
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Distributed Intelligent Adaptive Controller for Disturbance Rejection in Multiagent Systems
Anomaly Detection for Agile Satellite Attitude Control System Using Hybrid Deep-Learning Technique
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Generalizability of Code Clone Detection on CodeBERT
Run Time Assured Reinforcement Learning for Safe Satellite Docking
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects