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08/29/2023
AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach
The accuracy of coronary artery disease (CAD) diagnosis is dependent on ...
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04/12/2022
Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit
Streamlined weirs which are a nature-inspired type of weir have gained t...
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02/09/2022
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model
Cardiovascular disease is one of the most challenging diseases in middle...
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04/28/2021
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods
Covid-19 has been started in the year 2019 and imposed restrictions in m...
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04/18/2021
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients
In this paper, we propose a novel method named CNN-AE to predict surviva...
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02/13/2021
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
The coronavirus (COVID-19) is currently the most common contagious disea...
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02/12/2021
