Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alexander Ley"'
Publikováno v:
Hydrology Research, Vol 55, Iss 6, Pp 613-627 (2024)
Machine learning algorithms are increasingly applied in hydrological studies with promising results. However, these algorithms generally lack the ability for easy interpretability of the results by users. In this study, we compare six different expla
Externí odkaz:
https://doaj.org/article/742b6c28ff864dc48b09691d735bde11
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 50, Iss , Pp 101578- (2023)
Study Region: Barrier island at the German North Sea coast Study Focus: Drinking water supply on small barrier islands strongly depends on extractions from their freshwater lens below the island when no pipeline to the mainland exists. The shape and
Externí odkaz:
https://doaj.org/article/e743a5958e1a448bac451cccd3ea6f1a
Machine Learning and Deep Learning have been proving their potential for streamflow modelling in various studies. In particular, long short-term memory (LSTM) models showed exceptionally good results. However, machine learning models often are consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80405bcc6dcc9edd76c7ddffd135a59e
https://doi.org/10.5194/egusphere-egu23-3125
https://doi.org/10.5194/egusphere-egu23-3125
Publikováno v:
Water
Volume 15
Issue 3
Pages: 505
Volume 15
Issue 3
Pages: 505
Machine learning (ML) algorithms slowly establish acceptance for the purpose of streamflow modelling within the hydrological community. Yet, generally valid statements about the modelling behavior of the ML models remain vague due to the uniqueness o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5744618c5c7e005582fb9e9a4b311a52
Autor:
Xuelin Zhang, Donghao Zhang, Alexander Leye, Adrian Scott, Luke Visser, Zongyuan Ge, Paul Bonnington
Publikováno v:
Sensors, Vol 22, Iss 1, p 160 (2021)
This paper focuses on improving the performance of scientific instrumentation that uses glass spray chambers for sample introduction, such as spectrometers, which are widely used in analytical chemistry, by detecting incidents using deep convolutiona
Externí odkaz:
https://doaj.org/article/65186ba26cbc487b8a3ab53f383890aa