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Machine learning
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keywords:("Machine learning")
Introduction to the Virtual Collection on Machine Learning in Aerospace
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Generalizability of Code Clone Detection on CodeBERT
Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic
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
Kernel regression for travel time estimation via convex optimization
Federated Learning for Spanish Ports as an Aid to Digitization
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
UUV teams, control from a biological perspective
Machine Learning Based Approach to a Crane Load Estimation
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Optimizing inventory control through a data-driven and model-independent framework
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Evolutionary Computation Methods for Helicopter Loads Estimation
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
Enabling Limited Resource-Bounded Disjunction in Scheduling
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
An architectural framework for self-configuration and self-improvement at runtime
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Journal of Aerospace Information Systems 2021 Year-End Review
Journal of Aerospace Information Systems 2020 Year-End Review
Clustering sensor data for autonomous terrain identification using time-dependency
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic