activity
20192022
most citedFlood Prediction Using Machine Learning Models: Literature Review

1.4k citations · 1.8k across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2022★ 33 cited

Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit

Weibin Chen, Danial Sharifrazi, Guoxi Liang +3

Streamlined weirs which are a nature-inspired type of weir have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high disch…

cs.LG2022★ 1 cited

Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature

Guodao Zhang, Shahab S. Band, Sina Ardabili +2

In this research, dew point temperature (DPT) is simulated using the data-driven approach. Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized as a data-driven technique to f…

physics.ao-ph2020★ 3 cited

Application of ERA5 and MENA simulations to predict offshore wind energy potential

Shahab Shamshirband, Amir Mosavi, Narjes Nabipour +1

This study explores wind energy resources in different locations through the Gulf of Oman and also their future variability due climate change impacts. In this regard, EC-EARTH nea…

physics.ao-ph2020

Modeling Climate Change Impact on Wind Power Resources Using Adaptive Neuro-Fuzzy Inference System

Narjes Nabipour, Amir Mosavi, Eva Hajnal +3

Climate change impacts and adaptations are the subjects to ongoing issues that attract the attention of many researchers. Insight into the wind power potential in an area and its p…

cs.LG2020

Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants

Shahab Shamshirband, Meisam Babanezhad, Amir Mosavi +4

In order to perceive the behavior presented by the multiphase chemical reactors, the ant colony optimization algorithm was combined with computational fluid dynamics (CFD) data. Th…

physics.flu-dyn2019★ 1 cited

Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning

Alireza Hajipour, Arash Mirabdolah Lavasani, Mohammad Eftekhari Yazdi +3

In the present paper, an aerodynamic investigation of a high-speed train is performed. In the first section of this article, a generic high-speed train against a turbulent flow is…