Investigating the effectiveness of Random Tree Algorithm (RTC), Maximum Likelihood (MLC) and Support Vector Machine (SVM) models in detecting the changes in the water area of Lake Neor and the effect of these changes on the surface temperature

Articles in Press, Accepted Manuscript, Available Online from 26 November 2023

10.22034/hyd.2023.58342.1706

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The effectiveness of Random Tree Algorithm (RTC), Maximum Likelihood (MLC), and Support Vector Machine (SVM) models in detecting changes in the water area of Lake Neor and the effects of these changes on the surface temperature using the LST model in the 2002-2022 period

Volume 11, Issue 40, October 2024, Pages 21-1

10.22034/hyd.2024.18681

mehdi feyzolahpour

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Spatial modeling of groundwater capacity using a combination of maximum entropy method and random forest method in GIS environment Case study: Ardabil Ghorichay catchment

Volume 9, Issue 31, August 2022, Pages 116-95

10.22034/hyd.2022.50729.1631

Jafar Jafarzadeh; Meysam Argany

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