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[HTML][HTML] Comprehensive survey of using machine learning in the COVID-19 pandemic
Since December 2019, the global health population has faced the rapid spreading of
coronavirus disease (COVID-19). With the incremental acceleration of the number of …
coronavirus disease (COVID-19). With the incremental acceleration of the number of …
[HTML][HTML] Current artificial intelligence (AI) techniques, challenges, and approaches in controlling and fighting COVID-19: a review
SARS-CoV-2 (COVID-19) has been one of the worst global health crises in the 21st century.
The currently available rollout vaccines are not 100% effective for COVID-19 due to the …
The currently available rollout vaccines are not 100% effective for COVID-19 due to the …
[HTML][HTML] A novel approach to detect COVID-19: enhanced deep learning models with convolutional neural networks
AA Ramadhan, M Baykara - Applied Sciences, 2022 - mdpi.com
The novel coronavirus (COVID-19) is a contagious viral disease that has rapidly spread
worldwide since December 2019, causing the disruption of life and heavy economic losses …
worldwide since December 2019, causing the disruption of life and heavy economic losses …
Automatic diagnosis of Covid-19 related pneumonia from CXR and CT-Scan images
Covid-19 is a highly infectious disease that spreads extremely fast and is transmitted
through indirect or direct contact. The scientists have categorized the Covid-19 cases into …
through indirect or direct contact. The scientists have categorized the Covid-19 cases into …
A Modified Deep Convolutional Network for COVID-19 detection based on chest X-ray images
COVID-19 pandemic caused vast impact worldwide. Many efforts have been made to tackle
the pandemic, including in the deep learning community. In this research, a modification of …
the pandemic, including in the deep learning community. In this research, a modification of …
[PDF][PDF] Two-Stream Deep Learning Architecture-Based Human Action Recognition.
Human action recognition (HAR) based on Artificial intelligence reasoning is the most
important research area in computer vision. Big breakthroughs in this field have been …
important research area in computer vision. Big breakthroughs in this field have been …
Feature extraction approach based on statistical methods and wavelet packet decomposition for emotion recognition using EEG signals
Classification of human emotions via EEG signals is a hot topic today. In this study, a method
for feature extraction from EEG signals is presented. It is applied for the first time on the …
for feature extraction from EEG signals is presented. It is applied for the first time on the …
Convolutional neural networks based diagnosis of myocardial infarction in electrocardiograms
Myocardial infarction also called heart attack, is the most dangerous Coronary heart disease
for humans beings. Portable Electrocardiogram (ECG) device is useful for the identification …
for humans beings. Portable Electrocardiogram (ECG) device is useful for the identification …
Classification of personality traits by using pretrained deep learning models
Nowadays, personality traits analysis has become one of the important things since
international companies need to hire employees and be used in education and forensic …
international companies need to hire employees and be used in education and forensic …
[HTML][HTML] Explainable optimization of deep learning model for COVID-19 detection using chest images
The COVID-19 pandemic has now become endemic, yet it remains essential to identify and
diagnose the virus. The X-ray images on chest evaluations have utilized numerous deep …
diagnose the virus. The X-ray images on chest evaluations have utilized numerous deep …