Cargando…
Regulation-based probabilistic substance quality index and automated geo-spatial modeling for water quality assessment
Natural environments are recognized as complex heterogeneous structures thus requiring numerous multi-scale observations to yield a comprehensive description. To monitor the current state and identify negative impacts of human activity, fast and precise instruments are in urgent need. This work prov...
Autores principales: | Nikitin, Artyom, Tregubova, Polina, Shadrin, Dmitrii, Matveev, Sergey, Oseledets, Ivan, Pukalchik, Maria |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664848/ https://www.ncbi.nlm.nih.gov/pubmed/34893629 http://dx.doi.org/10.1038/s41598-021-02564-w |
Ejemplares similares
-
Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing
por: Gasanov, Mikhail, et al.
Publicado: (2020) -
Bayesian optimization for seed germination
por: Nikitin, Artyom, et al.
Publicado: (2019) -
Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data
por: Koldasbayeva, Diana, et al.
Publicado: (2022) -
Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks
por: Illarionova, Svetlana, et al.
Publicado: (2021) -
Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches
por: Matvienko, Ivan, et al.
Publicado: (2022)