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An EEG-based stereoscopic research of the PSD differences in pre and post 2D&3D movies watching
(Elsevier Sci Ltd, 2020)
Despite knowing the reality of three-dimensional (3D) technology in the form of eye fatigue, this technology continues to be retained by people (especially the young community). To check the influences of the human brain's ...
Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound
(Springer London Ltd, 2021)
In the last month of 2019, a new virus emerged in China, spreading rapidly and affecting the whole world. This virus, which is called corona, is the most contagious type of virus that humanity has ever encountered. The ...
Roza: a new and comprehensive metric for evaluating classification systems
(Taylor & Francis Ltd, 2021)
Many metrics such as accuracy rate (ACC), area under curve (AUC), Jaccard index (JI), and Cohen's kappa coefficient are available to measure the success of the system in pattern recognition and machine/deep learning systems. ...
MediNet: transfer learning approach with MediNet medical visual database
(Springer, 2023)
The rapid development of machine learning has increased interest in the use of deep learning methods in medical research. Deep learning in the medical field is used in disease detection and classification problems in the ...
A study on effective data preprocessing and augmentation method in diabetic retinopathy classification using pre-trained deep learning approaches
(Springer, 2023)
High glucose levels in the blood not only damage different tissues and organs of the body, but also cause adverse effects on the eye. This condition is called diabetic retinopathy (DR). DR can cause blurred vision, darkening ...