154 citations
- Deakin UniversityAU4 papers
- University of BirjandIR4 papers
- Obuda UniversityHU3 papers
- Research Institute for Astronomy and Astrophysics of MaraghIR3 papers
- Ferdowsi University of MashhadIR2 papers
- Iran University of Medical SciencesIR2 papers
- K. N. Toosi University of TechnologyIR2 papers
- Shiraz UniversityIR2 papers
- Slovak University of Technology in BratislavaSK2 papers
- Universidad de GranadaES2 papers
- University of BojnordIR2 papers
- University of MaraghehIR2 papers
12 papers
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…
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model
Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol +6
Cardiovascular disease is one of the most challenging diseases in middle-aged and older people, which causes high mortality. Coronary artery disease (CAD) is known as a common card…
Remarks on the functional equation and a uniqueness theorem for the gamma function
M. H. Hooshmand
The topic of gamma type functions and related functional equation has been seriously studied from first half of the twentieth century till now. Regarding unique s…
Application of artificial intelligence techniques for automated detection of myocardial infarction: A review
Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi +13
Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly individuals…
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani +9
The first known case of Coronavirus disease 2019 (COVID-19) was identified in December 2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and costs…
Combining a Convolutional Neural Network with Autoencoders to Predict the Survival Chance of COVID-19 Patients
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi +10
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classificati…