A Hybrid Transfer Learning Approach for Ambient PM2.5 Exposure Modeling in LMIC Contexts: A Case Study from Lima, Peru
This work developed a hybrid and transfer learning approach in Lima, Peru that integrates multiple geospatial technologies and machine learning to mitigate sampling bias and improve PM2.5 predictions, and provides a scalable solution to support robust epidemiological research and public health planning across data-scar...