Transfer Learning

Reconstructing three-dimensional density from surface data in the North Atlantic Sea through the PIO-Net model featured image
Subsurface Density Reconstruction

Reconstructing three-dimensional density from surface data in the North Atlantic Sea through the PIO-Net model

This study evaluates the applicability of the physics-informed operator network (PIO-Net) for reconstructing subsurface density anomalies (SDAs) based on sea surface density. …

Yuanyuan Chen
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A Transfer Learning–CNN Framework for Marine Atmospheric Pollutant Inversion Using Multi-Source Data Fusion featured image
Marine Atmosphere

A Transfer Learning–CNN Framework for Marine Atmospheric Pollutant Inversion Using Multi-Source Data Fusion

The concentration characteristics of SO2, NO2, O3, and CO in the marine atmosphere are of great significance for understanding air-sea interactions and regional atmospheric …

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李晓玲
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