Search Results - "Golkarian, Ali"

Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms by Khosravi, Khabat, Golkarian, Ali, Tiefenbacher, John P.

“…From a watershed management perspective, streamflow need to be predicted accurately using simple, reliable, and cost-effective tools. Present study…”
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Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran by Khosravi, Khabat, Panahi, Mahdi, Golkarian, Ali, Keesstra, Saskia D., Saco, Patricia M., Bui, Dieu Tien, Lee, Saro

“…•Flood susceptibility map at a scale of Iran derived based on deep learning convolutional neural networks.•15% of the entire country is highly to very highly…”
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Study on soil water retention and infiltration rate: a case study in eastern Iran by Moazeni-Noghondar, Saeedreza, Golkarian, Ali, Azari, Mahmood, Asgari Lajayer, Behnam

“…Knowing the water retention properties of soil can help with predicting water infiltration into the soil, the potential for runoff generation and sediment…”
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Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches by Khosravi, Khabat, Golkarian, Ali, Omidvar, Ebrahim, Hatamiafkoueieh, Javad, Shirali, Masoud

“…Snow Water Equivalent (SWE) is one of the most critical variables in mountainous watersheds and needs to be considered in water resources management plans. As…”
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Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models by KHOSRAVI, Khabat, GOLKARIAN, Ali, BARZEGAR, Rahim, AALAMI, Mohammad T., HEDDAM, Salim, OMIDVAR, Ebrahim, KEESSTRA, Saskia D., LÓPEZ-VICENTE, Manuel

“…Direct soil temperature (ST) measurement is time-consuming and costly; thus, the use of simple and cost-effective machine learning (ML) tools is helpful. In…”
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GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran by Mohsen Mousavi, Seyed, Golkarian, Ali, Amir Naghibi, Seyed, Kalantar, Bahareh, Pradhan, Biswajeet

“…This study intends to investigate the performance of boosted regression tree (BRT) and frequency ratio (FR) models in groundwater potential mapping. For this…”
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Use of a maximum entropy model to identify the key factors that influence groundwater availability on the Gonabad Plain, Iran by Golkarian, Ali, Rahmati, Omid

“…The purpose of this study is to identify the key factors that influence the availability of groundwater resources in a 10-year period in the Gonabad region of…”
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Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach by Khosravi, Khabat, Golkarian, Ali, Melesse, Assefa M., Deo, Ravinesh C.

“…•New advanced machine learning (ML) models applied for suspended sediment load prediction.•Results compared with traditional ML models as a benchmark.•Manually…”
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Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities by Rahmati, Omid, Golkarian, Ali, Biggs, Trent, Keesstra, Saskia, Mohammadi, Farnoush, Daliakopoulos, Ioannis N.

“…Land subsidence caused by land use change and overexploitation of groundwater is an example of mismanagement of natural resources, yet subsidence remains…”
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Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS by Golkarian, Ali, Naghibi, Seyed Amir, Kalantar, Bahareh, Pradhan, Biswajeet

“…Ever increasing demand for water resources for different purposes makes it essential to have better understanding and knowledge about water resources. As…”
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Stacking ensemble-based hybrid algorithms for discharge computation in sharp-crested labyrinth weirs by Khosravi, Khabat, Safari, Mir Jafar Sadegh, Sheikh Khozani, Zohreh, Crookston, Brian, Golkarian, Ali

“…Labyrinth weirs are utilized to transport a greater discharge during floods in contrast to conventional weirs due to their increased weir crest length…”
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Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer by Khosravi, Khabat, Barzegar, Rahim, Golkarian, Ali, Busico, Gianluigi, Cuoco, Emilio, Mastrocicco, Micòl, Colombani, Nicolò, Tedesco, Dario, Ntona, Maria Margarita, Kazakis, Nerantzis

“…Trace element (TE) pollution in groundwater resources is one of the major concerns in both developing and developed countries as it can directly affect human…”
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The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping by Bordbar, Mojgan, Khosravi, Khabat, Murgulet, Dorina, Tsai, Frank T.-C., Golkarian, Ali

“…The objective of this study was to improve the predictability of the GALDIT (G: groundwater occurrence, A: aquifer hydraulic conductivity, L: level of…”
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Model identification and accuracy for estimation of suspended sediment load by Khosravi, Khabat, Golkarian, Ali, Saco, Patricia M., Booij, Martijn J., Melesse, Assefa M.

“…In the present study, three widely used modeling approaches: (1) sediment rating curve (SRC) and optimized OSRC, (2) machine learning models (ML) (random…”
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Improving daily stochastic streamflow prediction: comparison of novel hybrid data-mining algorithms by Khosravi, Khabat, Golkarian, Ali, Booij, Martijn J., Barzegar, Rahim, Sun, Wei, Yaseen, Zaher Mundher, Mosavi, Amir

“…In the current paper, the efficiency of three new standalone data-mining algorithms [M5 Prime (M5P), Random Forest (RF), M5Rule (M5R)] and six novel hybrid…”
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A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning by Panahi, Mahdi, Khosravi, Khabat, Golkarian, Ali, Roostaei, Mahsa, Barzegar, Rahim, Omidvar, Ebrahim, Rezaie, Fatemeh, Saco, Patricia M., Sharifi, Alireza, Jun, Changhyun, Bateni, Sayed M., Lee, Chang-Wook, Lee, Saro

“…Land subsidence (LS), which mainly results from poor watershed management, is a complex and nonlinear phenomenon. In the present study, LS at a country-wide…”
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Evaluation of deep machine learning-based models of soil cumulative infiltration by Sepahvand, Alireza, Golkarian, Ali, Billa, Lawal, Wang, Kaiwen, Rezaie, Fatemeh, Panahi, Somayeh, Samadianfard, Saeed, Khosravi, Khabat

“…Infiltration is the process by which water enters the soil, and it plays a significant role in the hydrologic cycle. Direct measurement of infiltration is time…”
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Assessment of Resilience to Drought of Rural Communities in Iran by Khatibi, Seyedeh Atiye, Golkarian, Ali, Mosaedi, Abolfazl, Sojasi Qeidari, Hamdollah

“…In recent years, drought has inflicted significant damage on agriculture and rural communities in Iran. Resilience is the capability of communities to handle…”
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