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

268 citations · 1.7k across the 52 of their papers we have counts for

collaborators

53 papers

cs.LG2022★ 33 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★ 33 cited

GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset

Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi +3

Coronary heart disease (CAD) is one of the crucial reasons for cardiovascular mortality in middle-aged people worldwide. The most typical tool is angiography for diagnosing CAD. Th…

econ.GN2021

Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS

Saeed Nosratabadi, Sina Ardabili, Zoltan Lakner +2

Advancing models for accurate estimation of food production is essential for policymaking and managing national plans of action for food security. This research proposes two machin…

econ.GN2021

Driving Factors Behind the Social Role of Retail Centers on Recreational Activities

Sepideh Baghaee, Saeed Nosratabadi, Farshid Aram +1

Retail centers can be considered as places for interactional and recreational activities and such social roles of retail centers contribute to the popularity of the retail centers.…

cs.LG2021★ 154 cited

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani +9

The first known case of Coronavirus disease 2019 (COVID-19) was identified in December 2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and costs…

physics.flu-dyn2021

Machine Learning versus Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel

Babak Lashkar-Ara, Niloofar Kalantari, Zohreh Sheikh Khozani +1

One of the most important subjects of hydraulic engineering is the reliable estimation of the transverse distribution in the rectangular channel of bed and wall shear stresses. Thi…