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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
Introduction to the Virtual Collection on Machine Learning in Aerospace
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Optimizing inventory control through a data-driven and model-independent framework
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Generalizability of Code Clone Detection on CodeBERT
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
Verification of Image-Based Neural Network Controllers Using Generative Models
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Federated Learning for Spanish Ports as an Aid to Digitization
Machine Learning Based Approach to a Crane Load Estimation
Enabling Limited Resource-Bounded Disjunction in Scheduling
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Journal of Aerospace Information Systems 2021 Year-End Review
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Collaborative robot assisted smart needle placement
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Journal of Aerospace Information Systems 2020 Year-End Review
Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
Evolutionary Computation Methods for Helicopter Loads Estimation
An architectural framework for self-configuration and self-improvement at runtime
Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic