Bahram Gharabaghi

According to our database1, Bahram Gharabaghi authored at least 14 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups.
Eng. Comput., 2022

GLUE uncertainty analysis of hybrid models for predicting hourly soil temperature and application wavelet coherence analysis for correlation with meteorological variables.
Soft Comput., 2021

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., 2021

Panoramic Radiographic X-Ray Image Tooth Root Segmentation Based on LeNet-5 Networks.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2021

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., 2020

A Bayesian Monte-Carlo Uncertainty Model for Assessment of Shear Stress Entropy.
CoRR, 2020

A New Approach to Estimate the Discharge Coefficient in Sharp-Crested Rectangular Side Orifices Using Gene Expression Programming.
Proceedings of the Intelligent Computing, 2020

Prediction of Discharge Capacity of Labyrinth Weir with Gene Expression Programming.
Proceedings of the Intelligent Systems and Applications, 2020

Active Spectral Botnet Detection Based on Eigenvalue Weighting.
Proceedings of the Handbook of Big Data Privacy., 2020

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., 2019

Extreme learning machine model for water network management.
Neural Comput. Appl., 2019

Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques.
Neural Comput. Appl., 2019

Predicting stable alluvial channel profiles using emotional artificial neural networks.
Appl. Soft Comput., 2019

Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge.
IEEE Trans. Geosci. Remote. Sens., 2018