Bahram Gharabaghi
Bahram Gharabaghi
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Cited by
Forecasting air quality time series using deep learning
BS Freeman, G Taylor, B Gharabaghi, J Thé
Journal of the Air & Waste Management Association 68 (8), 866-886, 2018
A review of high impact weather for aviation meteorology
I Gultepe, R Sharman, PD Williams, B Zhou, G Ellrod, P Minnis, S Trier, ...
Pure and applied geophysics 176, 1869-1921, 2019
Groundwater chloride response in the Highland Creek watershed due to road salt application: A re-assessment after 20 years
N Perera, B Gharabaghi, K Howard
Journal of Hydrology 479, 159-168, 2013
Extreme learning machine model for water network management
AMA Sattar, ÖF Ertuğrul, B Gharabaghi, EA McBean, J Cao
Neural Computing and Applications; 10.1007/s00521-017-2987-7, 2017
Gene expression models for prediction of longitudinal dispersion coefficient in streams
AMA Sattar, B Gharabaghi
Journal of Hydrology 524, 587-596, 2015
A multiscale and multivariate analysis of precipitation and streamflow variability in relation to ENSO, NAO and PDO
D Nalley, J Adamowski, A Biswas, B Gharabaghi, W Hu
Journal of Hydrology 574, 288-307, 2019
Effectiveness of vegetative filter strips in removal of sediments from overland flow
B Gharabaghi, RP Rudra, PK Goel
Water Quality Research Journal 41 (3), 275-282, 2006
An integrated framework of extreme learning machines for predicting scour at pile groups in clear water condition
I Ebtehaj, H Bonakdari, F Moradi, B Gharabaghi, ZS Khozani
Coastal Engineering 135, 1-15, 2018
Prediction of Flow Duration Curves for Ungauged Basins
M Atieh, G Taylor, AMA Sattar, B Gharabaghi
Journal of Hydrology 545 (February), 383–394, 2017
Predicting the timing of water main failure using artificial neural networks
R Harvey, EA McBean, B Gharabaghi
Journal of Water Resources Planning and Management 140 (4), 425-434, 2014
Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate
M Zeynoddin, H Bonakdari, A Azari, I Ebtehaj, B Gharabaghi, ...
Journal of environmental management 222, 190-206, 2018
Forecasting watermain failure using artificial neural network modelling
A Asnaashari, EA McBean, B Gharabaghi, D Tutt
Canadian Water Resources Journal 38 (1), 24-33, 2013
Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology
K Lotfi, H Bonakdari, I Ebtehaj, FS Mjalli, M Zeynoddin, R Delatolla, ...
Journal of environmental management 240, 463-474, 2019
A reliable linear stochastic daily soil temperature forecast model
M Zeynoddin, H Bonakdari, I Ebtehaj, F Esmaeilbeiki, B Gharabaghi, ...
Soil and Tillage Research 189, 73-87, 2019
Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length
H Azimi, H Bonakdari, I Ebtehaj, B Gharabaghi, F Khoshbin
Acta Mechanica 229, 1197-1214, 2018
New insights into soil temperature time series modeling: linear or nonlinear?
H Bonakdari, H Moeeni, I Ebtehaj, M Zeynoddin, A Mahoammadian, ...
Theoretical and Applied Climatology 135, 1157-1177, 2019
Least limiting water range as affected by soil texture and cropping system
A Safadoust, P Feizee, AA Mahboubi, B Gharabaghi, MR Mosaddeghi, ...
Agricultural Water Management 136, 34-41, 2014
Impervious surfaces and sewer pipe effects on stormwater runoff temperature
F Sabouri, B Gharabaghi, AA Mahboubi, EA McBean
Journal of hydrology 502, 10-17, 2013
Assessment of the contributions of traditional qanats in sustainable water resources management
H Motiee, E Mcbean, A Semsar, B Gharabaghi, V Ghomashchi
International Journal of Water Resources Development 22 (4), 575-588, 2006
Uncertainty analysis of intelligent model of hybrid genetic algorithm and particle swarm optimization with ANFIS to predict threshold bank profile shape based on digital laser …
A Gholami, H Bonakdari, I Ebtehaj, M Mohammadian, B Gharabaghi, ...
Measurement 121, 294-303, 2018
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