Bahram Gharabaghi - Concepedia

Author

Bahram Gharabaghi

Also Known As

Andrew David Binns, B Gharabaghi, B. GHARABAGHI, B. Gharabaghi, BAHRAM GHARABAGHI, Baharam Gharabaghi, Bahram Gharabaghi, Edward McBean, Farshid Sabouri, Gharabaghi Bahram

351

Publications

8.1K

Citations

H-Index

254

Concepts

All Affiliations

University of Guelph Razi University Université Laval Lakes Environmental (Canada)Cairo University

About

Bahram Gharabaghi is an author at University of Guelph specializing in engineering, hydrology, and water resources.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	48	151	6.1K
2	Social Sciences	10	10	304
3	Medicine	6	6	193
4	Public Health	6	6	248
5	Management	3	3	141

Bahram Gharabaghi

181

Publications

Citations

H-Index

Page 1

	Year	Citations
Forecasting air quality time series using deep learning Brian S. Freeman, Graham W. Taylor, Bahram Gharabaghi, Journal of the Air & Waste Management Association	2018	299
A multiscale and multivariate analysis of precipitation and streamflow variability in relation to ENSO, NAO and PDO D. Nalley, Jan Adamowski, Asim Biswas, Journal of Hydrology HydrometeorologyClimatologyMeteorologyStreamflow VariabilityEngineering	2019	176
Groundwater chloride response in the Highland Creek watershed due to road salt application: A re-assessment after 20years Nandana Perera, Bahram Gharabaghi, Ken Howard Journal of Hydrology HydrogeologySurface RunoffEngineeringWater ResourcesEnvironmental Engineering	2012	167
Extreme learning machine model for water network management Ahmed M. A. Sattar, Ömer Faruk Ertuğrul, Bahram Gharabaghi, Neural Computing and Applications EngineeringMachine LearningWater ResourcesExtreme Learning MachineWater Network Management	2017	140
Gene expression models for prediction of longitudinal dispersion coefficient in streams Ahmed M. A. Sattar, Bahram Gharabaghi Journal of Hydrology Environmental FlowHydrological BehaviourEngineeringCatchment ScaleGenetics	2015	126
Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology Khadije Lotfi, Hossein Bonakdari, Isa Ebtehaj, Journal of Environmental Management Nonlinear System IdentificationEngineeringEnvironmental EngineeringProcess ControlWastewater Collection	2019	124
An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition Isa Ebtehaj, Hossein Bonakdari, Fatemeh Moradi, Coastal Engineering Geotechnical EngineeringEngineeringMachine LearningData ScienceExtreme Learning Machine	2018	119
Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate Mohammad Zeynoddin, Hossein Bonakdari, Arash Azari, Journal of Environmental Management ClimatologyMeteorologyForecasting MethodologyProbabilistic ForecastingTropical Climate	2018	104
A reliable linear stochastic daily soil temperature forecast model Mohammad Zeynoddin, Hossein Bonakdari, Isa Ebtehaj, Soil and Tillage Research EngineeringSoil ModelingWeather ForecastingClimate ForecastingForecasting	2019	103
Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine Hossein Bonakdari, Isa Ebtehaj, Pijush Samui, Water Resources Management Gaussian Process RegressionRelevance Vector MachineForecasting MethodologyProbabilistic ForecastingEngineering	2019	94

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