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Deep Multi-Stage Reference Evapotranspiration Forecasting M..:

Jayasinghe, W. J. M. Lakmini Prarthana ; Deo, Ravinesh C ; Ghahramani, Afshin..
https://research.usq.edu.au/download/31b52809e83171fda87174613d55d720604ee6a5a510739e084920c1eb54f071/2694943/Deep_Multi-Stage_Reference_Evapotranspiration_Forecasting_Model_Multivariate_Empirical_Mode_Decomposition_Integrated_With_the_Boruta-Random_Forest_Algorithm.pdf. , 2021

Link: https://research.usq.edu.au/item/q707w/deep-multi-stag..

RT Journal
T1 <Title>Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftusqland:oai:research.usq.edu.au:q707w&Exemplar=1&LAN=DE
				
A1 Jayasinghe, W. J. M. Lakmini Prarthana
A1 Deo, Ravinesh C
A1 Ghahramani, Afshin
A1 Ghimire, Sujan
A1 Raj, Nawin
PB IEEE (Institute of Electrical and Electronics Engineers)
YR 2021
K1 Boruta-random forest algorithm
K1 Deep learning
K1 Long short-term memory network
K1 Multivariate empirical mode decomposition
K1 Reference evapotranspiration forecasting
JF https://research.usq.edu.au/download/31b52809e83171fda87174613d55d720604ee6a5a510739e084920c1eb54f071/2694943/Deep_Multi-Stage_Reference_Evapotranspiration_Forecasting_Model_Multivariate_Empirical_Mode_Decomposition_Integrated_With_the_Boruta-Random_Forest_Algorithm.pdf
LK http://dx.doi.org/https://research.usq.edu.au/item/q707w/deep-multi-stage-reference-evapotranspiration-forecasting-model-multivariate-empirical-mode-decomposition-integrated-with-the-boruta-random-forest-algorithm
DO https://research.usq.edu.au/item/q707w/deep-multi-stage-reference-evapotranspiration-forecasting-model-multivariate-empirical-mode-decomposition-integrated-with-the-boruta-random-forest-algorithm
SF ELIB - SuUB Bremen

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