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Paper Enhancement of hydrological time series prediction with Real-World Time Series Generative Adversarial Network-based synthetic data and deep learning models
| Title: | Paper Enhancement of hydrological time series prediction with Real-World Time Series Generative Adversarial Network-based synthetic data and deep learning models | Authors: | Dodig, Ana; Stankovic, Vladimir V; Stankovic, Lina; Stojkovic, Milan   |
Issue Date: | 2026 | Publication: | ENVIRONMENTAL MODELLING & SOFTWARE | ISSN: | 1364-8152 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/123456789/1047596 | Project: | Science Fund of the Republic of Serbia [6707] REmote WAter Quality monitoRing and INtelliGence, REWARDING [101159480] European Union's Horizon Europe project ARTIFACT [101159480] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21aM21a |
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