Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

Machine learning approach for autonomous detection and classification of COVID-19 virus

OR Shahin, HH Alshammari, AI Taloba… - Computers and …, 2022 - Elsevier
As people all over the world are vulnerable to be affected by the COVID-19 virus, the
automatic detection of such a virus is an important concern. The paper aims to detect and …

Application of machine learning and deep learning techniques for Covid-19 screening using radiological imaging: a comprehensive review

A Lasker, SM Obaidullah, C Chakraborty, K Roy - SN computer science, 2022 - Springer
Lung, being one of the most important organs in human body, is often affected by various
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …

An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach

SU Amin, S Taj, A Hussain, S Seo - Biomedical Signal Processing and …, 2024 - Elsevier
The COVID-19 pandemic has created a demand for rapid and accurate testing to detect the
coronavirus, tuberculosis (TB), and pneumonia. Chest X-ray (CXR) images have been used …

Computer-aided detection of COVID-19 from CT images based on Gaussian mixture model and kernel support vector machines classifier

A Saygılı - Arabian Journal for Science and Engineering, 2022 - Springer
COVID-19 is a virus that has been declared an epidemic by the world health organization
and causes more than 2 million deaths in the world. To achieve this, computer-aided …

A Comparative Analysis of Intrusion Detection in IoT Network Using Machine Learning

M Imad, M Abul Hassan, S Hussain Bangash… - Big Data Analytics and …, 2022 - Springer
Recent innovations and advanced technology encourage users to implement solutions
against harmful attacks. This is provided new capabilities of dynamic provisioning …

COVID-19 lung image classification based on logistic regression and support vector machine

Nazish, SI Ullah, A Salam, W Ullah, M Imad - European, Asian, Middle …, 2021 - Springer
COVID-19 is an infectious disease caused by SARS-Cov2 that has spread rapidly
worldwide. According to the World Health Organization (WHO), the total cases of …

Multi-class classification for the identification of COVID-19 in X-ray images using customized efficient neural network

A Hussain, M Imad, A Khan, B Ullah - AI and IoT for Sustainable …, 2022 - Springer
During the global urgency, experts from all over the world searching for a new technology
that supports the COVID19 pandemic. The deep learning and artificial intelligence …

Implementation of stacking ensemble learning for classification of COVID-19 using image dataset CT scan and lung X-Ray

AU Berliana, A Bustamam - 2020 3rd International Conference …, 2020 - ieeexplore.ieee.org
Novel Coronavirus Disease (COVID-19) is a disease caused by SARS-CoV-2, which has
become a global pandemic. COVID-19 was first discovered in Wuhan, China, and has …

IoT based machine learning and deep learning platform for Covid-19 prevention and control: a systematic review

M Imad, A Hussain, MA Hassan, Z Butt… - Ai and IoT for Sustainable …, 2022 - Springer
The world has been facing a challenging issue of COVID-19, which has infected 223
countries and 223 billion deaths worldwide. It is believed that the world will need to take …