[HTML][HTML] A novel method for COVID-19 diagnosis using artificial intelligence in chest X-ray images
The Coronavirus disease 2019 (COVID-19) is an infectious disease spreading rapidly and
uncontrollably throughout the world. The critical challenge is the rapid detection of …
uncontrollably throughout the world. The critical challenge is the rapid detection of …
[HTML][HTML] Generation of synthetic chest X-ray images and detection of COVID-19: A deep learning based approach
COVID-19 is a disease caused by the SARS-CoV-2 virus. The COVID-19 virus spreads
when a person comes into contact with an affected individual. This is mainly through drops …
when a person comes into contact with an affected individual. This is mainly through drops …
Automated diagnosis of chest X‐ray for early detection of COVID‐19 disease
In March 2020, the World Health Organization announced the COVID‐19 pandemic, its
dangers, and its rapid spread throughout the world. In March 2021, the second wave of the …
dangers, and its rapid spread throughout the world. In March 2021, the second wave of the …
[HTML][HTML] HyAdamC: A new adam-based hybrid optimization algorithm for convolution neural networks
KS Kim, YS Choi - Sensors, 2021 - mdpi.com
As the performance of devices that conduct large-scale computations has been rapidly
improved, various deep learning models have been successfully utilized in various …
improved, various deep learning models have been successfully utilized in various …
[HTML][HTML] Human Body Performance with COVID-19 Affectation According to Virus Specification Based on Biosensor Techniques
Life was once normal before the first announcement of COVID-19's first case in Wuhan,
China, and what was slowly spreading became an overnight worldwide pandemic. Ever …
China, and what was slowly spreading became an overnight worldwide pandemic. Ever …
[HTML][HTML] A dual-stage vocabulary of features (VoF)-based technique for COVID-19 variants' classification
Novel coronavirus, known as COVID-19, is a very dangerous virus. Initially detected in
China, it has since spread all over the world causing many deaths. There are several …
China, it has since spread all over the world causing many deaths. There are several …
Diagnosis from CT scan images in complex biological media using deep learning and wave application: a Hunger Games search-based approach
X Wang, D Chang, T Shi, G Fan… - Waves in Random and …, 2021 - Taylor & Francis
Deep Convolutional Neural Networks (DCNNs) are robust models in image processing, real-
time processing has become challenging due to their complicated architecture. In order to …
time processing has become challenging due to their complicated architecture. In order to …
[HTML][HTML] Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Coronavirus-2 or SARS-
CoV-2), which came into existence in 2019, is a viral pandemic that caused coronavirus …
CoV-2), which came into existence in 2019, is a viral pandemic that caused coronavirus …
[Retracted] Novel Prediction Model for COVID‐19 in Saudi Arabia Based on an LSTM Algorithm
EH Alkhammash, H Algethami… - Computational …, 2021 - Wiley Online Library
The rapid emergence of the novel SARS‐CoV‐2 poses a challenge and has attracted
worldwide attention. Artificial intelligence (AI) can be used to combat this pandemic and …
worldwide attention. Artificial intelligence (AI) can be used to combat this pandemic and …
[HTML][HTML] An effective convolutional neural network model for the early detection of COVID-19 using chest X-ray images
COVID-19 has been difficult to diagnose and treat at an early stage all over the world. The
numbers of patients showing symptoms for COVID-19 have caused medical facilities at …
numbers of patients showing symptoms for COVID-19 have caused medical facilities at …