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Enhancement of hydrological time series prediction with Real-World Time Series Generative Adversarial Network-based synthetic data and deep learning models
| Title: | Enhancement of hydrological time series prediction with Real-World Time Series Generative Adversarial Network-based synthetic data and deep learning models | Authors: | Dodig, Ana |
Issue Date: | 2026 | Publication: | Environmental Modelling & Software | ISSN: | 13648152 Environmental Modelling and Software Search Idenfier |
Type: | Article | Collation: | vol. 204 str. 107037-107037 | DOI : | 10.1016/j.envsoft.2026.107037 | WoS-ID : | 001789518500001 | Scopus-ID : | 2-s2.0-105041071004 | URI: | https://enauka.gov.rs/handle/123456789/1044911 | Metadata source: | (Preuzeto iz CrossRef-a) Stojković, Milan | M-category: | 21aM21a |
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