Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms ; volume:12 ; number:1 ; day:30 ; month:7 ; year:2022 ; pages:1-29 ; date:12.2022
Scientific reports ; 12, Heft 1 (30.7.2022), 1-29, 12.2022
- Creator
-
Abed, Mustafa
Imteaz, Monzur Alam
Ahmed, Ali Najah
Huang, Yuk Feng
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-022-17263-3
- URN
-
urn:nbn:de:101:1-2022101719485589764327
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:34 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Abed, Mustafa
- Imteaz, Monzur Alam
- Ahmed, Ali Najah
- Huang, Yuk Feng
- SpringerLink (Online service)
Other Objects (12)
Comparison between pan and lake evaporation
Modeling Lake Titicaca Daily and Monthly Evaporation
Forecasting monthly pan evaporation using hybrid additive regression and data-driven models in a semi-arid environment
Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis
A random unitary circuit model for black hole evaporation
Évaporation
A spatial neural fuzzy network for estimating pan evaporation at ungauged sites
Estimating the monthly pan evaporation with limited climatic data in dryland based on the extended long short-term memory model enhanced with meta-heuristic algorithms
A novel application of transformer neural network (TNN) for estimating pan evaporation rate
L'Évaporation
Utilising random forests in the modelling of Eragrostis curvula presence and absence in an Australian grassland system
8. L'évaporation
Comparison between pan and lake evaporation
Modeling Lake Titicaca Daily and Monthly Evaporation
Forecasting monthly pan evaporation using hybrid additive regression and data-driven models in a semi-arid environment
Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis
A random unitary circuit model for black hole evaporation
Évaporation
A spatial neural fuzzy network for estimating pan evaporation at ungauged sites
Estimating the monthly pan evaporation with limited climatic data in dryland based on the extended long short-term memory model enhanced with meta-heuristic algorithms
A novel application of transformer neural network (TNN) for estimating pan evaporation rate
L'Évaporation
Utilising random forests in the modelling of Eragrostis curvula presence and absence in an Australian grassland system
8. L'évaporation
Comparison between pan and lake evaporation
Modeling Lake Titicaca Daily and Monthly Evaporation
Forecasting monthly pan evaporation using hybrid additive regression and data-driven models in a semi-arid environment
Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis
A random unitary circuit model for black hole evaporation
Évaporation
A spatial neural fuzzy network for estimating pan evaporation at ungauged sites
Estimating the monthly pan evaporation with limited climatic data in dryland based on the extended long short-term memory model enhanced with meta-heuristic algorithms
A novel application of transformer neural network (TNN) for estimating pan evaporation rate
L'Évaporation
Utilising random forests in the modelling of Eragrostis curvula presence and absence in an Australian grassland system