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20192022
most citedPredicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran

268 citations · 1.2k across the 36 of their papers we have counts for

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12 papers · 1 filter

cs.LG202233 cited

Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit

Weibin Chen, Danial Sharifrazi, Guoxi Liang +3

Streamlined weirs which are a nature-inspired type of weir have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high disch…

cs.LG2021

Hybrid Artificial Intelligence Methods for Predicting Air Demand in Dam Bottom Outlet

Aliakbar Narimani, Mahdi Moghimi, Amir Mosavi

In large infrastructures such as dams, which have a relatively high economic value, ensuring the proper operation of the associated hydraulic facilities in different operating cond…

cs.LG2020

Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction

Randall Claywell, Laszlo Nadai, Felde Imre +1

The accurate prediction of the solar Diffuse Fraction (DF), sometimes called the Diffuse Ratio, is an important topic for solar energy research. In the present study, the current s…

cs.LG2020

Extreme learning machine-based model for Solubility estimation of hydrocarbon gases in electrolyte solutions

Narjes Nabipour, Amir Mosavi, Alireza Baghban +2

Calculating hydrocarbon components solubility of natural gases is known as one of the important issues for operational works in petroleum and chemical engineering. In this work, a…

cs.LG2020268 cited

Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran

Mostafa Emadi, Ruhollah Taghizadeh-Mehrjardi, Ali Cherati +3

Estimation of the soil organic carbon content is of utmost importance in understanding the chemical, physical, and biological functions of the soil. This study proposes machine lea…

cs.LG2020

Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and B-Thalassemia with CBC Indices Based on Dynamic Harmony Search

Sultan Noman Qasem, Amir Mosavi

In recent decades, attention has been directed at anemia classification for various medical purposes, such as thalassemia screening and predicting iron deficiency anemia (IDA). In…