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Introduction to the Virtual Collection on Machine Learning in Aerospace
A data-driven dynamics simulation framework for railway vehicles
Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Research on the air brake system of heavy haul trains based on neural network
Data-driven train set crash dynamics simulation
Data-driven train set crash dynamics simulation
Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Federated Learning for Spanish Ports as an Aid to Digitization
Machine Learning Based Approach to a Crane Load Estimation
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
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
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects