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ORCIDBahram Gharabaghi
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2020 – today
- 2024
[j11]Victor Oliveira Santos
, Bruna Monallize Duarte Moura Guimarães, Iran Eduardo Lima Neto, Francisco de Assis de Souza Filho, Paulo Alexandre Costa Rocha, Jesse Van Griensven The, Bahram Gharabaghi:
Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods. Remote. Sens. 16(11): 1870 (2024)- [j10]Arthur Rosenfield, Alexandra Ficht, Eric M. Lyons, Bahram Gharabaghi:
A One-Dimensional Light Detection and Ranging Array Scanner for Mapping Turfgrass Quality. Remote. Sens. 16(12): 2215 (2024) - 2022
- [j9]Iman Ahmadianfar, Mehdi Jamei, Masoud Karbasi, Ahmad Sharafati, Bahram Gharabaghi:
A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups. Eng. Comput. 38(4): 3439-3461 (2022) - [c6]Hossein Bonakdari, Hamed Azimi, Isa Ebtehaj, Bahram Gharabaghi, Ali Jamali, Seyed Hamed Ashraf Talesh:
Estimation of Velocity Field in Narrow Open Channels by a Hybrid Metaheuristic ANFIS Network. SAI (1) 2022: 1-24 - [c5]Hossein Bonakdari, Azadeh Gholami, Isa Ebtehaj, Bahram Gharabaghi:
An Improved Architecture of Group Method of Data Handling for Stability Evaluation of Cross-sectional Bank on Alluvial Threshold Channels. SAI (1) 2022: 769-796 - 2021
- [j8]Meysam Alizamir, Sungwon Kim, Mohammad Zounemat-Kermani, Salim Heddam, Amin Hasanalipour Shahrabadi, Bahram Gharabaghi:
Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model. Artif. Intell. Rev. 54(4): 2863-2890 (2021) - [j7]Akram Seifi, Mohammad Ehteram, Fatemeh Nayebloei, Fatemeh Soroush, Bahram Gharabaghi, Ali Torabi Haghighi:
GLUE uncertainty analysis of hybrid models for predicting hourly soil temperature and application wavelet coherence analysis for correlation with meteorological variables. Soft Comput. 25(16): 10723-10748 (2021) - [c4]Ruiqi Shi, Chang Liu, Jiang Tao, Guoqiang Li, Kai Xiao, Zhangqian Xie, Jian Wang, Bahram Gharabaghi:
Panoramic Radiographic X-Ray Image Tooth Root Segmentation Based on LeNet-5 Networks. AMLTA 2021: 134-144 - [c3]Hossein Bonakdari, Azadeh Gholami, Bahram Gharabaghi, Isa Ebtehaj, Ali Akbar Akhtari:
An Assessment of Extreme Learning Machine Model for Estimation of Flow Variables in Curved Irrigation Channels. SAI (3) 2021: 259-269 - 2020
- [j6]Amir Noori, Hossein Bonakdari, Khosro Morovati, Bahram Gharabaghi:
Development of optimal water supply plan using integrated fuzzy Delphi and fuzzy ELECTRE III methods - Case study of the Gamasiab basin. Expert Syst. J. Knowl. Eng. 37(5) (2020) - [c2]Hossein Bonakdari, Isa Ebtehaj, Bahram Gharabaghi, Ali Sharifi, Amir Mosavi:
Prediction of Discharge Capacity of Labyrinth Weir with Gene Expression Programming. IntelliSys (1) 2020: 202-217 - [c1]Hossein Bonakdari, Bahram Gharabaghi, Isa Ebtehaj, Ali Sharifi:
A New Approach to Estimate the Discharge Coefficient in Sharp-Crested Rectangular Side Orifices Using Gene Expression Programming. SAI (3) 2020: 77-96 - [p1]Amin Azmoodeh, Ali Dehghantanha, Reza M. Parizi, Sattar Hashemi, Bahram Gharabaghi, Gautam Srivastava:
Active Spectral Botnet Detection Based on Eigenvalue Weighting. Handbook of Big Data Privacy 2020: 385-397 - [i2]Amin Kazemian-Kale-Kale, Azadeh Gholami, Mohammad Rezaie-Balf, Amir Mosavi, Ahmed M. A. Sattar, Bahram Gharabaghi, Hossein Bonakdari:
A Bayesian Monte-Carlo Uncertainty Model for Assessment of Shear Stress Entropy. CoRR abs/2001.04802 (2020) - [i1]Hossein Bonakdari, Isa Ebtehaj, Bahram Gharabaghi, Ali Sharifi, Amir Mosavi:
Prediction of Discharge Capacity of Labyrinth Weir with Gene Expression Programming. CoRR abs/2002.02751 (2020)
2010 – 2019
- 2019
- [j5]Azadeh Gholami, Hossein Bonakdari, Pijush Samui, Majid Mohammadian, Bahram Gharabaghi:
Predicting stable alluvial channel profiles using emotional artificial neural networks. Appl. Soft Comput. 78: 420-437 (2019) - [j4]Ahmed M. A. Sattar, Ömer Faruk Ertugrul, Bahram Gharabaghi, Edward A. McBean, Jiuwen Cao:
Extreme learning machine model for water network management. Neural Comput. Appl. 31(1): 157-169 (2019) - [j3]Azadeh Gholami, Hossein Bonakdari, Mohammad Zeynoddin, Isa Ebtehaj, Bahram Gharabaghi, Saeed Reza Khodashenas:
Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques. Neural Comput. Appl. 31(10): 5799-5817 (2019) - [j2]Amir Hossein Zaji, Hossein Bonakdari, Bahram Gharabaghi:
Applying Upstream Satellite Signals and a 2-D Error Minimization Algorithm to Advance Early Warning and Management of Flood Water Levels and River Discharge. IEEE Trans. Geosci. Remote. Sens. 57(2): 902-910 (2019) - 2018
- [j1]Amir Hossein Zaji, Hossein Bonakdari, Bahram Gharabaghi:
Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge. IEEE Trans. Geosci. Remote. Sens. 56(6): 3432-3441 (2018)
Coauthor Index
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