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Revisiting residential self-selection and travel behavior connection using a double machine learning
Fake it till you make it: Synthetic data for emerging carsharing programs
Individual and synergistic associations among transit allowance, land use, and transit commuting
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
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
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Exploring user satisfaction and improvement priorities in electric vehicle segments
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
Analysis and estimation of energy consumption of electric buses using real-world data
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership
Examining active travel behavior through explainable machine learning: Insights from Beijing, China
Optimizing inventory control through a data-driven and model-independent framework
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
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
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Using explainable machine learning to understand how urban form shapes sustainable mobility
Generalizability of Code Clone Detection on CodeBERT
Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting
Gender differences in active travel among older adults: Non-linear built environment insights
Exploring the nonlinear effects of built environment characteristics on customized bus service
Exploring nonlinear built environment effects on driving with a mixed-methods approach
Revealing influences on carsharing users’ trip distance in small urban areas
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
Environmental screening model of driving behavior for an electric bus entering and leaving stops
Transit electrification state of the art: A machine-learning based text mining approach
A comprehensive review of trip generation models based on land use characteristics
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models