Search Results - "Nafarzadegan, Ali Reza"

Predicting the number of dusty days around the desert wetlands in southeastern Iran using feature selection and machine learning techniques by Ebrahimi-Khusfi, Zohre, Nafarzadegan, Ali Reza, Dargahian, Fatemeh

“…•Five machine learning models and three feature selection methods were used to predict number of dusty days (NDDs).•SGB performs well in predicting NDDs with…”
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Determining Effective Factors Regarding Weather and Some Types of Air Pollutants in Seasonal Changes of PM10 Concentration Using Tree-Based Algorithms in Yazd City by Ebrahimi-Khusfi, Zohre, Ebrahimi-Khusfi, Mohsen, Nafarzadegan, Ali Reza, Soleimani-Sardo, Mojtaba

“…Introduction: This study was carried out with the aim of determining weather parameters and air pollutants affecting seasonal changes of particulate matter of…”
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Evaluation of water quality trends in the Maroon River Basin, Iran, from 1990 to 2010 by WQI and multivariate analyses by Sharifinia, Moslem, Adeli, Behzad, Nafarzadegan, Ali Reza

“…This research aimed to investigate the long-term spatiotemporal changes of surface water quality of the Maroon River by implementing Water Quality Index (WQI)…”
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Spatial characterization of dust emission prone arid regions using feature extraction and predictive algorithms by Nafarzadegan, Ali Reza, Ebrahimi-Khusfi, Zohre, Kazemi, Mohamad

“…Aeolian dust emission is a serious environmental hazard in central Iran. We attempted to map the dust emission prone (DEP) areas in this region of Iran using…”
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Socially-Optimal and Nash Pareto-Based Alternatives for Water Allocation under Uncertainty: an Approach and Application by Nafarzadegan, Ali Reza, Vagharfard, Hassan, Nikoo, Mohammad Reza, Nohegar, Ahmad

“…This study has proposed a methodology by enhancing an interactive algorithm to multi-objective optimization problems with interval parameters, in an attempt to…”
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Predicting the dust events frequency around a degraded ecosystem and determining the contribution of their controlling factors using gradient boosting-based approaches and game theory by Ebrahimi-Khusfi, Zohre, Dargahian, Fatemeh, Nafarzadegan, Ali Reza

“…This study was aimed to evaluate the performance of gradient boosting machine (GBM) and extreme gradient boosting (XGB) models with linear, tree, and DART…”
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Accuracy, uncertainty, and interpretability assessments of ANFIS models to predict dust concentration in semi-arid regions by Ebrahimi-Khusfi, Zohre, Taghizadeh-Mehrjardi, Ruhollah, Nafarzadegan, Ali Reza

“…Accurate prediction of the dust concentration (DC) is necessary to reduce its undesirable environmental effects in different geographical areas. Although the…”
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Monitoring the water surface of wetlands in Iran and their relationship with air pollution in nearby cities by Ebrahimi-Khusfi, Zohre, Nafarzadegan, Ali Reza, Ebrahimi-Khusfi, Mohsen, Zandifar, Samira

“…Understanding the impact of wetland water area (WWA) fluctuations on air pollution in nearby cities is of great environmental importance. This study is the…”
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Using multivariate adaptive regression splines and extremely randomized trees algorithms to predict dust events frequency around an international wetland and prioritize its drivers by Ebrahimi-Khusfi, Zohre, Nafarzadegan, Ali Reza, Khosroshahi, Mohammad

“…This study aimed to evaluate the performance of multivariate adaptive regression splines (MARS) and extremely randomized trees (ERT) models for predicting the…”
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Machine learning for air quality index (AQI) forecasting: shallow learning or deep learning? by Kalantari, Elham, Gholami, Hamid, Malakooti, Hossein, Nafarzadegan, Ali Reza, Moosavi, Vahid

“…In this study, several machine learning (ML) models consisting of shallow learning (SL) models (e.g., random forest (RF), K-nearest neighbor (KNN), weighted…”
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Modeling PM2.5 and SO2 levels and identifying factors impacting them in Kerman city, southeastern Iran by Ebrahimi-Khusfi, Zohre, Nafarzadegan, Ali Reza, Ebrahimi-Khusfi, Mohsen, Keshtkar, Mostafa

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Evaluating traditional versus ensemble machine learning methods for predicting missing data of daily PM10 concentration by Kalantari, Elham, Gholami, Hamid, Malakooti, Hossein, Eftekhari, Mahdi, Saneei, Poorya, Esfandiarpour, Donya, Moosavi, Vahid, Nafarzadegan, Ali Reza

“…The aim of this study was to predict the missing data of PM10 for the city of Zabol using various traditional learning methods, Lazy Learning, and Ensemble…”
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Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing techniques by Ebrahimi-Khusfi, Zohre, Taghizadeh-Mehrjardi, Ruhollah, Kazemi, Mohamad, Nafarzadegan, Ali Reza

“…This study was conducted to evaluate the performance of the support vector regression (SVR) model with and without applying wavelet transformation for…”
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Influential environmental drivers on air pollution in dust-sensitive regions of Iran by Ebrahimi-Khusfi, Zohre, Nafarzadegan, Ali Reza, Kazemi, Mohamad, Ebrahimi-Khusfi, Mohsen

“…Understanding the spatial distribution pattern of dust-sensitive regions (DSR ) and prioritizing the factors affecting them are important steps in controlling…”
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Developing a Multi-Objective Linear Model for an Optimal Water Allocation Based on Four Bankruptcy Rules and Solve it Through the Fuzzy Compromise Approach by Ali Reza Nafarzadegan, Hassan Vagharfard, Mohammad Reza Nikoo, Ahmad Nohegar

“…A multi-objective linear optimization model has been formulated, which is used for water and crop area allocation in two irrigation and drainage networks of…”
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A modified distance-weighted approach for filling annual precipitation gaps: application to different climates of Iran by Khosravi, Gholamreza, Nafarzadegan, Ali Reza, Nohegar, Ahmad, Fathizadeh, Hasan, Malekian, Arash

“…The continuity of precipitation data is critical in climate, hydrological and environmental studies. The main objective of this study is to improve the…”
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Investigating organizational cohesion and knowledge sharing among organizational stakeholders in the direction of cooperative management of the Isin Plain Aquifer in Hormozgan by Mahtab Salehi, Rasool Mahdavi, Marzieh Rezai, Ali Reza Nafarzadegan, Mehdi Ghorbani

“…IntroductionThe integration of inter-sectoral policies is necessary for natural resource management. This is due to the fact that the scope of current…”
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Study of The Relation Between the Status of The Isin Bandar Abbas Plain Aquifer and Land Use Changes by Mahtab Salehi, Rasool Mahdavi, Marziyeh Rezai, Ali Reza Nafarzadegan, Mehdi Ghorbani

“…IntroductionGroundwater is among the most precious natural resources for human health, economic development and environmental diversity. Since the measurement…”
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