TX
United States
Texas State University
Deep learning theory, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), AI ethics, Synthetic data generation, Urban planning
Synthetic Data Generation, Realistic Artificial Data, Generative Models, Privacy-Preserving Machine Learning, Benchmarking and Evaluation Frameworks
Motorcycle, Curved Segments, Temporal Variations, Cloudy, Fixed Object, Darkness
E-scooter, crash severity, association rule mining, lift increase criterion
Child pedestrian, injury severity, random parameter, unobserved heterogeneity, temporal instability
Latent heterogeneity, Cluster Correspondence Analysis (CCA), Multinomial Logit Analysis, Hybrid analysis, Glare