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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Application of Hybrid Support Vector machine models in Predicting River Flow Karkhe basin

Volume 7, Issue 22, June 2020, Pages 155-175

10.22034/hyd.2020.14190

reza dehghani; hassan torabi; hojatolah younesi; babak shahinejad

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The Effects of the Daily, Monthly, and Annual Time Scales on the Suspended Sediment Load Prediction

Volume 4, Issue 10, June 2017, Pages 121-143

Maryam Asadi; Ali Fathzadeh; Roohollah Taghizadeh Mehrjerdi

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