A novel collocation method with a coronavirus optimization algorithm for the optimal control of COVID-19: A case study of Wuhan, China
R Khanduzi, A Jajarmi, A Ebrahimzadeh… - Computers in Biology …, 2024 - Elsevier
In this study, we develop a numerical optimization approach to address the challenge of
optimal control in the spread of COVID-19. We evaluate the impact of various control …
optimal control in the spread of COVID-19. We evaluate the impact of various control …
Advancing Feature Ranking with HFRWM2: A Weighted Majority Voting Strategy Enhanced by the Harris Hawks Optimizer
Feature selection (FS) is vital in improving the performance of machine learning (ML)
algorithms. Despite its importance, identifying the most important features remains …
algorithms. Despite its importance, identifying the most important features remains …
Advancing feature ranking with hybrid feature ranking weighted majority model: a weighted majority voting strategy enhanced by the Harris hawks optimizer
Feature selection (FS) is vital in improving the performance of machine learning (ML)
algorithms. Despite its importance, identifying the most important features remains …
algorithms. Despite its importance, identifying the most important features remains …
Mobile Diagnosis of COVID-19 by Biogeography-based Optimization-guided CNN
X Han, Z Hu - Mobile Networks and Applications, 2024 - Springer
Abstract Since 2019, COVID-19 has profoundly impacted human health around the world.
COVID-19 is extremely contagious, so fast automated diagnosis is necessary. In the field of …
COVID-19 is extremely contagious, so fast automated diagnosis is necessary. In the field of …
[HTML][HTML] EfficientCovNet: A CNN-based approach to detect various pulmonary diseases including COVID-19 using modified EfficientNet
AG Argho, MMS Maswood, MI Mahmood… - Intelligent Systems with …, 2024 - Elsevier
The ongoing COVID-19 pandemic has brought about severe consequences, including
numerous tragic losses of loved ones and significant disruptions to the global economy and …
numerous tragic losses of loved ones and significant disruptions to the global economy and …
Performance evaluation of classifiers for the COVID-19 symptom-based dataset using different feature selection methods
Classification algorithms are commonly employed in healthcare systems to aid decision
support processes, such as treatment regimens, diagnosis, and illness prediction. The …
support processes, such as treatment regimens, diagnosis, and illness prediction. The …
An Innovative COVID-19 Patient Recognition Framework
SH Ali - Mansoura Engineering Journal, 2024 - mej.researchcommons.org
A virus called COVID-19 has caused devastation throughout the world and is still putting
people's lives in jeopardy. It is important to identify COVID-19 patients as soon as possible …
people's lives in jeopardy. It is important to identify COVID-19 patients as soon as possible …
NEURAL PREDICTOR DESIGN FOR COVID-19 CASES IN DIFFERENT REGIONS
COVID-19, which emerged in the past years, has affected human life in many different ways.
The COVID-19 virus has spread very quickly around the world and has become a pandemic …
The COVID-19 virus has spread very quickly around the world and has become a pandemic …