NetCDFaster: Optimizing NetCDF data querying and geo-visualization using high-performance machine learning
Extracting and visualizing multidimensional subsets from large NetCDF datasets is often repetitive, time-consuming, and technically demanding. Existing tools typically trade off between performance and usability, either optimizing data retrieval at the cost of user experience or providing user-frien...
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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Elsevier
2025-09-01
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| Seria: | SoftwareX |
| Hasła przedmiotowe: | |
| Dostęp online: | http://www.sciencedirect.com/science/article/pii/S2352711025002365 |
| Etykiety: |
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