Cargando…
A mask R-CNN model for reidentifying extratropical cyclones based on quasi-supervised thought
The applications of machine learning/deep learning (ML/DL) methods in meteorology have developed considerably in recent years. Massive amounts of meteorological data are conducive to improving the training effect and model performance of ML/DL, but the establishment of training datasets is often tim...
Autores principales: | Lu, Chuhan, Kong, Yang, Guan, Zhaoyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490412/ https://www.ncbi.nlm.nih.gov/pubmed/32929100 http://dx.doi.org/10.1038/s41598-020-71831-z |
Ejemplares similares
-
A Review of Historical and Future Changes of Extratropical Cyclones and Associated Impacts Along the US East Coast
por: Colle, Brian A., et al.
Publicado: (2015) -
Can Anonymous Posters on Medical Forums be Reidentified?
por: Bobicev, Victoria, et al.
Publicado: (2013) -
Response of Extreme Rainfall for Landfalling Tropical Cyclones Undergoing Extratropical Transition to Projected Climate Change: Hurricane Irene (2011)
por: Liu, M., et al.
Publicado: (2020) -
Plasma Proteomes Can Be Reidentifiable and Potentially Contain Personally Sensitive and Incidental Findings
por: Geyer, Philipp E., et al.
Publicado: (2021) -
Deforestation intensifies daily temperature variability in the northern extratropics
por: Ge, Jun, et al.
Publicado: (2022)