Enhancing short-term streamflow forecasting of extreme events: A wavelet-artificial neural network hybrid approach

Autor: Yulia Gorodetskaya, Rodrigo Oliveira Silva, Celso Bandeira de Melo Ribeiro, Leonardo Goliatt

Publikováno v: Water Cycle, Vol 5, Iss , Pp 297-312 (2024)

Accurate short-term streamflow forecasting models are crucial for effective water resource management, enabling timely responses to extreme flood or drought events and mitigating potential socioeconomic damage. This study proposes robust hybrid Wavel

Externí odkaz: https://doaj.org/article/8880d57e1a5a48a19c423c0ce7fc3fba

Low-field single-sided NMR for one-shot 1D-mapping: Application to membranes

Autor: Rodrigo Oliveira-Silva, Dimitrios Sakellariou, Patrick Judeinstein, Filippo Ferdeghini, Jean-Marc Zanotti

Publikováno v: Journal of Magnetic Resonance
Journal of Magnetic Resonance, 2017, 277, pp.25-29. ⟨10.1016/j.jmr.2017.02.003⟩
Journal of Magnetic Resonance, Elsevier, 2017, 277, pp.25-29. ⟨10.1016/j.jmr.2017.02.003⟩

International audience; Many single-sided permanent magnet NMR systems have been proposed over the years allowing for 1D proton-density profiling, diffusion measurements and relaxometry. In this manuscript we make use of a recently published unilater

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2feedd72b52b29838f021525db3873ce
https://doi.org/10.1016/j.jmr.2017.02.003