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MaguedAlaghbary/AFQ: A geothermal heat flow model for Africa based on Random Forest Regression v4.0

Domaine:

environment and energygeospatial

Type de record:

model
Créateur:
Magued Al-Aghbary
Éditeur:
Zenodo
Hôte:avatar

A geothermal heat flow model for Africa based on Random Forest Regression v4.0 with images and model outcome

Visit

doi.org

Licenses

info:eu-repo/semantics/openAccessOther (Open)

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MaguedAlaghbary/AFQ: A geothermal heat flow model for Africa based on Random Forest Regression v3.0MaguedAlaghbary/AFQ: A geothermal heat flow model for Africa based on Random ForestRegression v5.0MaguedAlaghbary/AFQ: AFQ geothermal heat flow model of AfricaMaguedAlaghbary/AFQ: AFQ geothermal heat flow model of Africa v6.1DataSheet1_A geothermal heat flow model of Africa based on random forest regression.pdf

MaguedAlaghbary/AFQ: A geothermal heat flow model for Africa based on Random Forest Regression v3.0

A geothermal heat flow model for Africa based on Random Forest Regression

MaguedAlaghbary/AFQ: A geothermal heat flow model for Africa based on Random ForestRegression v5.0

A geothermal heat flow model for Africa based on Random ForestRegression v5.0

&l

MaguedAlaghbary/AFQ: AFQ geothermal heat flow model of Africa

Geothermal Heat Flow model of Africa using random forest

MaguedAlaghbary/AFQ: AFQ geothermal heat flow model of Africa v6.1

A geothermal heat flow model for Africa based on Random Forest Regression v6.1 new upgraded

DataSheet1_A geothermal heat flow model of Africa based on random forest regression.pdf

Geothermal heat flow (GHF) data measured directly from boreholes are sparse. Purely physics-based