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Mahsa H. Kashani
Mahsa H. Kashani
Verified email at uma.ac.ir
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Year
Comparison of LLR, MLP, Elman, NNARX and ANFIS Models—with a case study in solar radiation estimation
A Moghaddamnia, R Remesan, MH Kashani, M Mohammadi, D Han, ...
Journal of Atmospheric and Solar-Terrestrial Physics 71 (8-9), 975-982, 2009
1732009
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
BM M.A. Ghorbani, Ravinesh C.Deo, Zaher Mundher Yaseen, Mahsa H.Kashani
Theor Appl Climatol, 1-13, 2017
165*2017
Evaluation of efficiency of different estimation methods for missing climatological data
M Hasanpour Kashani, Y Dinpashoh
Stochastic environmental research and risk assessment 26, 59-71, 2012
1182012
Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model
A Malik, A Kumar, S Kim, MH Kashani, V Karimi, A Sharafati, MA Ghorbani, ...
Engineering Applications of Computational Fluid Mechanics 14 (1), 323-338, 2020
1012020
Forecast of rainfall distribution based on fixed sliding window long short-term memory
C Chen, Q Zhang, MH Kashani, C Jun, SM Bateni, SS Band, SS Dash, ...
Engineering Applications of Computational Fluid Mechanics 16 (1), 248-261, 2022
982022
Comparison of three artificial intelligence techniques for discharge routing
R Khatibi, MA Ghorbani, MH Kashani, O Kisi
Journal of hydrology 403 (3-4), 201-212, 2011
912011
Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia
MA Ghorbani, RC Deo, S Kim, M Hasanpour Kashani, V Karimi, ...
Soft Computing 24, 12079-12090, 2020
572020
The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: case study of Uttarakhand State
A Malik, A Kumar, MA Ghorbani, MH Kashani, O Kisi, S Kim
Hydrology Research 50 (6), 1623-1644, 2019
542019
New approach for sediment yield forecasting with a two-phase feedforward neuron network-particle swarm optimization model integrated with the gravitational search algorithm
SG Meshram, MA Ghorbani, RC Deo, MH Kashani, C Meshram, V Karimi
Water Resources Management 33, 2335-2356, 2019
432019
Design and implementation of a hybrid MLP-GSA model with multi-layer perceptron-gravitational search algorithm for monthly lake water level forecasting
MA Ghorbani, RC Deo, V Karimi, MH Kashani, S Ghorbani
Stochastic environmental research and risk assessment 33, 125-147, 2019
402019
Multiple AI model integration strategy—application to saturated hydraulic conductivity prediction from easily available soil properties
MH Kashani, MA Ghorbani, M Shahabi, SR Naganna, L Diop
Soil and Tillage Research 196, 104449, 2020
382020
Integration of Volterra model with artificial neural networks for rainfall-runoff simulation in forested catchment of northern Iran
MH Kashani, MA Ghorbani, Y Dinpashoh, S Shahmorad
Journal of Hydrology 540, 340-354, 2016
382016
Ionospheric TEC forecasting using Gaussian process regression (GPR) and multiple linear regression (MLR) in Turkey
S Inyurt, M Hasanpour Kashani, A Sekertekin
Astrophysics and Space Science 365, 1-17, 2020
302020
Comparison of different methods for developing a stage–discharge curve of the Kizilirmak River
M Hasanpour Kashani, R Daneshfaraz, MA Ghorbani, MR Najafi, O Kisi
Journal of Flood Risk Management 8 (1), 71-86, 2015
292015
Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity
SG Mohammad Ali Ghorbani, Ravinesh CDeo, Mahsa H.Kashani, Mahmoud Shahabi
Soil and Tillage Research 186, 152-164, 2019
282019
Probability distribution functions for unit hydrographs with optimization using genetic algorithm
A Ghorbani M.A., Singh V.P., Sivakumar B., Kashani M. H., Arvind Atre A.
Applied Water Science, 2015
20*2015
Continuous monitoring of suspended sediment concentrations using image analytics and deriving inherent correlations by machine learning
MA Ghorbani, R Khatibi, VP Singh, E Kahya, H Ruskeepää, MK Saggi, ...
Scientific reports 10 (1), 8589, 2020
162020
Entropy analysis and pattern recognition in rainfall data, north Algeria
MA Ghorbani, E Kahya, T Roshni, MH Kashani, A Malik, S Heddam
Theoretical and Applied Climatology 144, 317-326, 2021
152021
Comparison of Volterra model and artificial neural networks for rainfall–runoff simulation
M Hasanpour Kashani, MA Ghorbani, Y Dinpashoh, S Shahmorad
Natural Resources Research 23 (3), 341-354, 2014
152014
Hybrid support vector regression models with algorithm of innovative gunner for the simulation of groundwater level
T Roshni, E Mirzania, M Hasanpour Kashani, QAT Bui, S Shamshirband
Acta Geophysica 70 (4), 1885-1898, 2022
122022
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