Shirshov Institute of Oceanology, Russian Academy of Sciences
Author in the following contributions
- Data-driven approximation of downward solar radiation flux based on all-sky optical imagery using machine learning models trained on DASIO dataset.
- Аrtificial neural networks for multi-label cloud types classification from all-sky optical imagery over the ocean.
- Approximation of high-resolution surface wind speed in the North Atlantic using discriminative and generative neural models based on RAS-NAAD 40-year hindcast
- Visual clustering of ocean sediment grains using a combination of unsupervised machine learning methods.
- In situ wind speed nowcasting using data-driven approach.
