International Data Group (Sweden)

A Multi-Stage Deep Learning Framework for Daily PM2.5 Estimation at 100 m Resolution Across the Contiguous United States, 2000–2024 (A Quarter Century of Data)

Abstract Accurate high-resolution estimation of fine particulate matter (PM2.5) remains challenging because of sparse monitoring networks and missing satellite observations. We developed a multistage deep learning framework to generate daily PM2.5 concentrations at 100 m resoluti...

Coupled Reconstruction of 2D Blood Flow and Vessel Geometry from Noisy Images via Physics-Informed Neural Networks and Quasi-conformal Mapping

Abstract. Blood flow imaging provides important information for hemodynamic behavior within the vascular system and plays an essential role in medical diagnosis and treatment planning. However, obtaining high-quality flow images remains a significant challenge. In this work, we a...