Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jonathan Nuttall"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract This paper introduces a novel application of spatial-temporal graph neural networks (ST-GNNs) to predict groundwater levels. Groundwater level prediction is inherently complex, influenced by various hydrological, meteorological, and anthropo
Externí odkaz:
https://doaj.org/article/d0d310eb51fa4eadb9f85df6fd124401
Autor:
Katharina Wilbrand, Riccardo Taormina, Marie-Claire ten Veldhuis, Martijn Visser, Markus Hrachowitz, Jonathan Nuttall, Ruben Dahm
Publikováno v:
Frontiers in Water, Vol 5 (2023)
Streamflow predictions remain a challenge for poorly gauged and ungauged catchments. Recent research has shown that deep learning methods based on Long Short-Term Memory (LSTM) cells outperform process-based hydrological models for rainfall-runoff mo
Externí odkaz:
https://doaj.org/article/651a7ba2b92948ea953ab8a93d0bbf1a
Publikováno v:
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::967aa0822127910bc7a2940c7acf1ff2
https://doi.org/10.1061/ajrua6.rueng-975
https://doi.org/10.1061/ajrua6.rueng-975
Autor:
Xiuyu Liang, You-Kuan Zhang, Jonathan Nuttall, Amirul Khan, Jiangwei Zhang, Maria L. Taccari, Xingxing Kuang, Xiaohui Chen
Publikováno v:
Journal of Hydrology. 596:126067
In recent years, deep Recurrent Neural Network (RNN) has been applied to predict daily runoff, as its wonderful ability of dealing with the high nonlinear interactions among the complex hydrology factors. However, most of the existing studies focused
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae3dba8bf5a84cdae062b56fcb364656
https://doi.org/10.1016/j.jhydrol.2021.126067
https://doi.org/10.1016/j.jhydrol.2021.126067
Publikováno v:
Optics Letters. 37:2556
We report the first observation (to our best knowledge) of a constant intensity, quasi-Bessel/nondiffracting beam in an absorbing medium generated by a novel optical element, "exicon," or exponential intensity axicon. Such absorption-compensated and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b39084d2847d9e6921301df8111dda6
https://doi.org/10.1364/ol.37.002556
https://doi.org/10.1364/ol.37.002556