Published June 12, 2023
| Version v1
Dataset
Open
Application of deep neural networks to reconstruct coastal water quality data
Authors/Creators
- 1. Institute of Hydro-Engineering, Polish Academy of Sciences, Poland
Description
In this study ordinary and new integrated deep neural networks were developed for the reconstruction of measured specific conductance (SC) data. Five stations of USGS in the Gulf of Mexico were considered as case study.
Files
Files
(2.2 MB)
| Name | Size | Download all |
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md5:97a2d3b0e0b8fe045e99db1718fa1846
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2.2 MB | Download |