Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Explanatory variable"'
Publikováno v:
IEEE Access, Vol 10, Pp 6126-6146 (2022)
Many studies have shown that industrial as well as non-industrial business organisations present a growing need of robust and more efficient multivariate monitoring schemes in order to be able to monitor several quality characteristics simultaneous.
Externí odkaz:
https://doaj.org/article/429188a3eec94fb0957d36e4c79593d6
Autor:
H. Keshtkar, P. Pourmohammad
Publikováno v:
Desert, Vol 27, Iss 1, Pp 167-181 (2022)
Various statistical techniques have been used for species distribution modeling that attempt to predict the occurrence of a given species with respect to environmental conditions. The current study was conducted to compare the performance of three re
Externí odkaz:
https://doaj.org/article/e6a810c44ca74a8d801352a34284c017
Autor:
Mehrnaz Ahmadi, Mehdi Khashei
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 3, Pp 430-452 (2022)
Abstract Wind power is one of the most important renewable energy sources that is widely used in many developed and developing countries. However, it is generally stated in the literature that providing accurate forecasts for large‐scale planning p
Externí odkaz:
https://doaj.org/article/02d4c4b5784b487f9373f881ffc69a7d
Akademický článek
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Autor:
Anderson Samuel Silva, Edson Mauro Santos, João Paulo de Farias Ramos, Kilmer Oliveira Soares, Raniere de Sá Paulino, Gabriel Ferreira de Lima Cruz
Publikováno v:
Agrarian, Vol 14, Iss 52, Pp 256-263 (2021)
Forage cactus is widely cultivated in environments with low rainfall, due to its adaptability to the climate and richness in water and carbohydrates for ruminants. Knowing the morphology of these plants and their responses to management practices thr
Externí odkaz:
https://doaj.org/article/fe746e97a15a42ea892fc76c59481536
Autor:
Hector, Andy, author
Publikováno v:
The New Statistics with R : An Introduction for Biologists, 2021, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780198798170.003.0007
Autor:
Hector, Andy, author
Publikováno v:
The New Statistics with R : An Introduction for Biologists, 2021, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780198798170.003.0006
Autor:
Wang, You-Gan
Publikováno v:
Biometrics, 1999 Sep 01. 55(3), 900-903.
Externí odkaz:
https://www.jstor.org/stable/2533622
Publikováno v:
IEEE Access, Vol 6, Pp 55986-55994 (2018)
This paper proposes a hybrid approach based on seasonal autoregressive integrated moving average (SARIMA) and neural networks for multi-step ahead wind speed forecasting using explanatory variables. In the proposed model, explanatory variables are fi
Externí odkaz:
https://doaj.org/article/68e729358c684a87b7509849c17752a7
Akademický článek
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