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Introduction to the Virtual Collection on Machine Learning in Aerospace
Using ultrasound images of the forearm to predict finger positions
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Gaussian process regression for forecasting battery state of health
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Generalizability of Code Clone Detection on CodeBERT
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Radar Waveforms and Their Mathematical Models
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Vehicular Networks and Autonomous Driving Cars
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Studying the capabilities of the analytical system based on the machine learning method
Target Recognition and Classification Techniques
Machine learning approaches for detection of robot errors in human brain signals
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
How machine learning informs ride-hailing services: A survey
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Federated Learning for Spanish Ports as an Aid to Digitization
Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning
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
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Optimizing inventory control through a data-driven and model-independent framework
Applicability of machine learning in uncertainty quantification of turbulence models
Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network
Applicability of machine learning in uncertainty quantification of turbulence models
Combining learning and structure for robotic manipulation
Real-Time Traffic Sign Detection Under Foggy Condition