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Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data
Machine Learning–Aided Synthetic Air Data System for Commercial Aircraft
A fault tolerant neural network for space-based 3D printing quality assessment
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Research on the air brake system of heavy haul trains based on neural network
Machine learning-aided generative design methodology for a Martian regolith habitation shell
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
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
Adaptive human-robot policy blending for shared control teleoperation
Introduction to the Virtual Collection on Machine Learning in Aerospace
Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2
Composition and source based aerosol classification using machine learning algorithms
Estimation of grassland height using optical and SAR remote sensing data
Benchmarking deep learning approaches for all-vs-all conjunction screening
Machine learning methods for nonlinear dimensionality reduction of the thermospheric density field
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Machine learning approach for detection of plasma depletions from TEC
Development of a data-driven subsurface thermal probing technique for lunar exploration
Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
Prediction of ionospheric total electron content data using spatio-temporal residual network
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Optimizing inventory control through a data-driven and model-independent framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Self-supervised learning of primitive-based robotic manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets