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
Optimal Signal Timing of Single Intersection for Traffic Emission Control
Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations
Parareal with a learned coarse model for robotic manipulation
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Run Time Assured Reinforcement Learning for Safe Satellite Docking
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Maintenance Strategies Overlook for Devices Under Operation
Selecting Minimal Motion Primitive Libraries with Genetic Algorithms
Machine Learning Based Approach to a Crane Load Estimation
Closed-loop active flow control of a non-steady flow field in a highly-loaded compressor cascade
Closed-loop active flow control of a non-steady flow field in a highly-loaded compressor cascade
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Prefetch and Push Method of Flight Information Based on Migration Workflow
Deep reinforcement learning for stochastic last-mile delivery with crowdshipping
Optimizing inventory control through a data-driven and model-independent framework
Reduced-order models for aerodynamic applications, loads and MDO
Reduced-order models for aerodynamic applications, loads and MDO
Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions
Interaktives Lernen in der Stellwerksausbildung - Verknüpfung von Lernplattform und Simulation
Swarm Intelligence in Cooperative Environments: -Step Dynamic Tree Search Algorithm Overview
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Verification of Image-Based Neural Network Controllers Using Generative Models
Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains
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
Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning
Simplified Approach for Modeling Conflict Resolution Behavior of Human Pilot
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Hyperheuristic Approach Based on Reinforcement Learning for Air Traffic Complexity Mitigation
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Dynamic Targeting to Improve Earth Science Missions
Prediction of transonic wing buffet pressure based on deep learning
Fast Path Planning for Unmanned Aerial Vehicles by Self-Correction Based on -Learning
XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters
Object Depth Measurement and Filtering from Monocular Images for Unmanned Aerial Vehicles