Mohammad Taghi Sattari

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Halit ApaydinAnkara UniversityVerified email at ankara.edu.tr
Hajar Feiziuniversity of TabrizVerified email at ms.tabrizu.ac.ir
Fazlı ÖztürkAnkara ÜniversitesiVerified email at ankara.edu.tr
Rasoul MirabbasiAssociate Professor, Department of Water Engineering, Shahrekord University, Shahrekord, IranVerified email at sku.ac.ir
Mahesh PalProfessor, Department of Civil Engineering, NIT Kurukshetra, 136119, Haryana, INDIAVerified email at nitkkr.ac.in
Saeed SamadianfardDepartment of Water Engineering, University of TabrizVerified email at tabrizu.ac.ir
Ramendra PrasadThe University of FijiVerified email at unifiji.ac.fj
Farzin SalmasiProfessor, Department of Water Engineering, Faculty of Agriculture, University of TabrizVerified email at tabrizu.ac.ir
John AbrahamUniversity of St. ThomasVerified email at stthomas.edu
Vahid NouraniProfessor of Civil and Env. Eng., Univ. of Tabriz , Near East Univ., Charles Darwin Univ.Verified email at tabrizu.ac.ir
Andrew KusiakProfessor of Industrial and Systems Engineering, University of IowaVerified email at uiowa.edu
Kwok Wing ChauProfessor of Civil & Hydraulic Engineering, Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Sajjad AhmadProfessor, Civil Eng., Univ. of Nevada, Las VegasVerified email at unlv.edu
Prof. Mohammad MosaferiTabriz university of medical sciencesVerified email at tbzmed.ac.ir
Nazak RouzegariPhD Student at UCIVerified email at uci.edu
Oliviu MateiProf. dr. habil., Technical University of Cluj-NapocaVerified email at cunbm.utcluj.ro
Anca AvramTechnical University of Cluj-Napoca, North University Center Baia Mare, Baia Mare, RomaniaVerified email at ieee.org
Adam MilewskiUniversity of GeorgiaVerified email at uga.edu
Yousef HassanzadehProfessor of Civil Engineering, University of TabrizVerified email at tabrizu.ac.ir
Javad ParsaAssociate Professor, Water Engineering Department, Faculty of Agriculture, University of TabrizVerified email at tabrizu.ac.ir

Mohammad Taghi Sattari

Associate Professor, Department of Water Engineering, University of Tabriz and Ankara University

Verified email at tabrizu.ac.ir - Homepage

Water resources Data mining Hydroinformatics


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Comparative analysis of recurrent neural network architectures for reservoir inflow forecasting H Apaydin, H Feizi, MT Sattari, MS Colak, S Shamshirband, KW Chau Water 12 (5), 1500, 2020	280	2020
Assessment of different methods for estimation of missing data in precipitation studies MT Sattari, A Rezazadeh-Joudi, A Kusiak Hydrology Research 48 (4), 1032-1044, 2017	187	2017
Modeling pan evaporation using Gaussian process regression K-nearest neighbors random forest and support vector machines; comparative analysis S Shabani, S Samadianfard, MT Sattari, A Mosavi, S Shamshirband, ... Atmosphere 11 (1), 66, 2020	185	2020
M5 model tree application in daily river flow forecasting in Sohu Stream, Turkey M Taghi Sattari, M Pal, H Apaydin, F Ozturk Water Resources 40, 233-242, 2013	128	2013
Performance evaluation of artificial neural network approaches in forecasting reservoir inflow M Taghi Sattari, K Yurekli, M Pal Applied Mathematical Modelling 36 (6), 2649-2657, 2012	110	2012
Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions H Apaydin, MT Sattari, K Falsafian, R Prasad Journal of Hydrology 600, 126506, 2021	108	2021
Ground water quality classification by decision tree method in Ardebil region, Iran SM Saghebian, MT Sattari, R Mirabbasi, M Pal Arabian Journal of Geosciences 7 (11), 4767-4777, 2014	101	2014
Prediction of groundwater level in Ardebil plain using Support Vector Regression and M5 tree model MT Sattari, R Mirabbasi, R Shamsi, J Abraham Groundwater, 2018	88	2018
Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation MT Sattari, H Apaydin, SS Band, A Mosavi, R Prasad Hydrology and Earth System Sciences 25 (2), 603-618, 2021	82	2021
Estimation of Water Quality Parameters with Data-Driven Models MT Sattari, AR Joudi, A Kusiak Journal-American Water Works Association 108 (4), 2016	63	2016
Performance Evaluation of Deep Learning-Based Gated Recurrent Units (GRUs) and Tree-Based Models for Estimating ETo by Using Limited Meteorological Variables MT Sattari, H Apaydin, S Shamshirband Mathematics 8 (6), 2020	58	2020
Potential of kernel and tree-based machine-learning models for estimating missing data of rainfall MT Sattari, K Falsafian, A Irvem, SN Qasem Engineering Applications of Computational Fluid Mechanics 14 (1), 1078-1094, 2020	44	2020
Flow estimations for the Sohu Stream using artificial neural networks MT Sattari, H Apaydin, F Ozturk Environmental Earth Sciences 66, 2031-2045, 2012	44	2012
Trend and abrupt change analysis in water quality of Urmia Lake in comparison with changes in lake water level MT Sattari, R Mirabbasi, S Jarhan, F Shaker Sureh, S Ahmad Environmental monitoring and assessment 192, 1-16, 2020	38	2020
Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran MT Sattari, A Farkhondeh, JP Abraham Environmental Science and Pollution Research, 2018	38	2018
Threshold-based hybrid data mining method for long-term maximum precipitation forecasting V Nourani, MT Sattari, A Molajou Water Resources Management 31, 2645-2658, 2017	36	2017
Determining Flow Friction Factor in Irrigation Pipes Using Data Mining and Artificial Intelligence Approaches KÖKH Samadianfard S, Sattari MT Applied Artificial Intelligence 28 (8), 793-813, 2014	35	2014
M5 model trees and neural network based modelling of ET0 in Ankara, Turkey MT Sattari, M Pal, K Yurekli, A Unlukara Turkish Journal of Engineering and Environmental Sciences 37 (2), 211-219, 2013	32	2013
Operation analysis of Eleviyan irrigation reservoir dam by optimization and stochastic simulation MT Sattari, H Apaydin, F Ozturk Stochastic Environmental Research and Risk Assessment 23, 1187-1201, 2009	31	2009
Soil temperature estimation with meteorological parameters by using tree-based hybrid data mining models MT Sattari, A Avram, H Apaydin, O Matei Mathematics 8 (9), 1407, 2020	28	2020

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