2 papers
physics.flu-dyn2026
BLISSNet: Deep Operator Learning for Fast and Accurate Flow Reconstruction from Sparse Sensor Measurements
Maksym Veremchuk, K. Andrea Scott, Zhao Pan
Reconstructing fluid flows from sparse sensor measurements is a fundamental challenge in science and engineering. Widely separated measurements and complex, multiscale dynamics mak…
cs.CV2024
Region-level labels in ice charts can produce pixel-level segmentation for Sea Ice types
Muhammed Patel, Xinwei Chen, Linlin Xu +3
Fully supervised deep learning approaches have demonstrated impressive accuracy in sea ice classification, but their dependence on high-resolution labels presents a significant cha…