Danial Sharifrazi
Orcid: 0000-0002-8158-0961
According to our database1,
Danial Sharifrazi
authored at least 13 papers
between 2021 and 2024.
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Bibliography
2024
Brain Ageing Prediction using Isolation Forest Technique and Residual Neural Network (ResNet).
CoRR, 2024
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review.
CoRR, 2024
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach.
Biomed. Signal Process. Control., 2024
2023
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis.
CoRR, 2023
AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach.
CoRR, 2023
2022
Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit.
CoRR, 2022
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model.
CoRR, 2022
2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.
ACM Trans. Multim. Comput. Commun. Appl., 2021
A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis.
CoRR, 2021
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods.
CoRR, 2021
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients.
CoRR, 2021
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.
CoRR, 2021
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
Biomed. Signal Process. Control., 2021