148 citations · 152 across the 11 of their papers we have counts for
11 papers
Extreme learning machine-based model for Solubility estimation of hydrocarbon gases in electrolyte solutions
Narjes Nabipour, Amir Mosavi, Alireza Baghban +2
Calculating hydrocarbon components solubility of natural gases is known as one of the important issues for operational works in petroleum and chemical engineering. In this work, a…
A Secure and Improved Multi Server Authentication Protocol Using Fuzzy Commitment
Hafeez Ur Rehman, Anwar Ghani, Shehzad Ashraf Chaudhry +2
Very recently, Barman et al. proposed a multi-server authentication protocol using fuzzy commitment. The authors claimed that their protocol provides anonymity while resisting all…
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…
Comparative analysis of machine learning models for Ammonia Capture of Ionic Liquids
Shahaboddin Shamshirband, Narjes Nabipour, Masoud Hadipoor +2
Industry uses various solvents in the processes of refrigeration and ventilation. Among them, the Ionic liquids (ILs) as the relatively new solvents, are known for their proven eco…
Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm
Saeed Samadianfard, Sajjad Hashemi, Katayoun Kargar +5
Wind power as a renewable source of energy, has numerous economic, environmental and social benefits. In order to enhance and control renewable wind power, it is vital to utilize m…
Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems
Nader Karballaeezadeh, Farah Zaremotekhases, Shahaboddin Shamshirband +4
Prediction models in mobility and transportation maintenance systems have been dramatically improved through using machine learning methods. This paper proposes novel machine learn…
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model
Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar +6
Heart disease is one of the most common diseases in middle-aged citizens. Among the vast number of heart diseases, the coronary artery disease (CAD) is considered as a common cardi…
Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices
Majid Dehghani, Somayeh Salehi, Amir Mosavi +3
Temporary changes in precipitation may lead to sustained and severe drought or massive floods in different parts of the world. Knowing variation in precipitation can effectively he…
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…
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…
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System
Sanaz Mojrian, Gergo Pinter, Javad Hassannataj Joloudari +4
Mammography is often used as the most common laboratory method for the detection of breast cancer, yet associated with the high cost and many side effects. Machine learning predict…