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Found 5 papers, 2 papers with code
Transfer Learning via Latent Dependency Factor for Estimating PM 2.5
We recognize this transfer problem as spatial transfer learning and propose a new feature named Latent Dependency Factor (LDF) that captures spatial and semantic dependencies of both domains and is subsequently added to the datasets.
Large Language Models for Spatial Trajectory Patterns Mining
Identifying anomalous human spatial trajectory patterns can indicate dynamic changes in mobility behavior with applications in domains like infectious disease monitoring and elderly care.
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image Denoising
Combining both approaches, we introduce a hybrid RQUNet-VAE scheme for image and time series decomposition used to reduce noise in satellite imagery.
Change of human mobility during COVID-19: A United States case study
(Step 5) Conduct correlation analysis to investigate how various population characteristics and behavior correlate with mobility patterns.
Station-to-User Transfer Learning: Towards Explainable User Clustering Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix Factorization
Urban areas provide us with a treasure trove of available data capturing almost every aspect of a population's life.
