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

268 citations · 928 across the 28 of their papers we have counts for

collaborators

40 papers

econ.GN202043 cited

Leader Cultural Intelligence and Organizational Performance

Saeed Nosratabadi, Parvaneh Bahrami, Khodayar Palouzian +1

One of the challenges for international companies is to manage multicultural environments effectively. Cultural intelligence (CQ) is a soft skill required of the leaders of organiz…

econ.GN202016 cited

Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks

Sina Ardabili, Amir Mosavi, Asghar Mahmoudi +3

The recent developments of computer and electronic systems have made the use of intelligent systems for the automation of agricultural industries. In this study, the temperature va…

econ.GN202045 cited

State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability

Saeed Nosratabadi, Amir Mosavi, Ramin Keivani +2

Deep learning (DL) and machine learning (ML) methods have recently contributed to the advancement of models in the various aspects of prediction, planning, and uncertainty analysis…

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.CE2020

Generation expansion planning in the presence of wind power plants using a genetic algorithm model

Ali Sahragard, Hamid Falaghi, Mahdi Farhadi +2

One of the essential aspects of power system planning is generation expansion planning (GEP). The purpose of GEP is to enhance construction planning and reduce the costs of install…