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Mohsen Nasseri
Mohsen Nasseri
Water Resources Management and Engineering Department, School of Civil Enge., University of Tehran
Verified email at ut.ac.ir - Homepage
Title
Cited by
Cited by
Year
Optimized scenario for rainfall forecasting using genetic algorithm coupled with artificial neural network
M Nasseri, K Asghari, MJ Abedini
Expert systems with applications 35 (3), 1415-1421, 2008
2192008
Forecasting monthly urban water demand using extended Kalman filter and genetic programming
M Nasseri, A Moeini, M Tabesh
Expert Systems with Applications 38 (6), 7387-7395, 2011
1262011
A new approach to flood susceptibility assessment in data-scarce and ungauged regions based on GIS-based hybrid multi criteria decision-making method
MN Y. Kanani sadat, R Arabsheibani, F Krimipour
Journal of Hydrology 573 (1-4), 17-31, 2019
81*2019
Improved statistical downscaling of daily precipitation using SDSM platform and data‐mining methods
H Tavakol‐Davani, M Nasseri, B Zahraie
International journal of climatology 33 (11), 2561-2578, 2013
582013
Performance assessment of different data mining methods in statistical downscaling of daily precipitation
M Nasseri, H Tavakol-Davani, B Zahraie
Journal of hydrology 492, 1-14, 2013
542013
Cluster-based ordinary kriging of piezometric head in West Texas/New Mexico–Testing of hypothesis
MJ Abedini, M Nasseri, A Ansari
Journal of Hydrology 351 (3-4), 360-367, 2008
462008
Evaluation of spatial and spatiotemporal estimation methods in simulation of precipitation variability patterns
B Bayat, B Zahraie, F Taghavi, M Nasseri
Theoretical and applied climatology 113 (3), 429-444, 2013
272013
The use of a genetic algorithm-based search strategy in geostatistics: application to a set of anisotropic piezometric head data
MJ Abedini, M Nasseri, DH Burn
Computers & Geosciences 41, 136-146, 2012
272012
Application of simple clustering on space‐time mapping of mean monthly rainfall pattern
M Nasseri, B Zahraie
International Journal of Climatology 31 (5), 732-741, 2011
242011
An analytic solution of water transport in unsaturated porous media
M Nasseri, MR Shaghaghian, Y Daneshbod, H Seyyedian
Journal of Porous Media 11 (6), 2008
242008
Identification of long-term annual pattern of meteorological drought based on spatiotemporal methods: evaluation of different geostatistical approaches
B Bayat, M Nasseri, B Zahraie
Natural Hazards 76 (1), 515-541, 2015
232015
Monthly water balance modeling: probabilistic, possibilistic and hybrid methods for model combination and ensemble simulation
M Nasseri, B Zahraie, NK Ajami, DP Solomatine
Journal of Hydrology 511, 675-691, 2014
232014
New analytical solution to water content simulation in porous media
M Nasseri, Y Daneshbod, MD Pirouz, GR Rakhshandehroo, A Shirzad
Journal of irrigation and drainage engineering 138 (4), 328-335, 2012
202012
Uncertainty assessment of hydrological models with fuzzy extension principle: Evaluation of a new arithmetic operator
M Nasseri, A Ansari, B Zahraie
Water Resources Research 50 (2), 1095-1111, 2014
192014
Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network
A Ahmadi, M Nasseri, Solomatine, Dimitri, P.
Hydrological Science Journal 64 (9), 1080-1094, 2019
172019
EFFECTS OF SAMPLE SIZE OF GROUND MOTIONS ON SEISMIC FRAGILITY ANALYSIS OF OFFSHORE JACKET PLATFORMS USING GENETIC ALGORITHM
M Abyani, MR Bahari, MN M Zarrin
Ocean Engineering 189, 1, 2019
172019
Comparison between active learning method and support vector machine for runoff modeling
H Shahraiyni, M Ghafouri, S Shouraki, B Saghafian, M Nasseri
Journal of Hydrology and Hydromechanics 60 (1), 16, 2012
172012
ASSESSING VULNERABILITY TO CLIMATE CHANGE FOR TOTAL ORGANIC CARBON IN A SYSTEM OF DRINKING WATER SUPPLY
Y Hashempour, M Nasseri, A Mohseni Bandpei, S Motesaddi, ...
Sustainable Cities and Society 53, 2020
152020
Uncertainty assessment of monthly water balance models based on Incremental Modified Fuzzy Extension Principle method
M Nasseri, B Zahraie, A Ansari, DP Solomatine
Journal of Hydroinformatics 15 (4), 1340-1360, 2013
152013
پيش بيني قيمت نفت با دو روش ARIMA و شبکه هاي عصبي مصنوعي
نيا ايمان فرجام, محسن ناصري, سيدمحمد احمدي
IJER 9 (32), 161-183, 2007
15*2007
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