Modeling and control of COVID-19 disease using deep reinforcement learning method
N Ghazizadeh, S Taghvaei, SA Haghpanah - Medical & Biological …, 2024 - Springer
The prevalence of epidemics has been studied by researchers in various fields. In the last 2
years, the outbreak of COVID-19 has affected the health, economy, and industry of …
years, the outbreak of COVID-19 has affected the health, economy, and industry of …
[PDF][PDF] Deep Reinforcement Learning Framework for COVID Therapy: A Research Perspective
SG Jacob, MMBA Sulaiman, B Bennet - Current Bioinformatics., 2022 - academia.edu
CONCLUSION A review of the different models presented in the past to address Covid-19
crisis reveals that deep learning model predictions based on reinforcement learning for …
crisis reveals that deep learning model predictions based on reinforcement learning for …
A comparative study on the prediction model of COVID-19
Q Zhou, W Tao, Y Jiang, B Cui - 2020 IEEE 9th Joint …, 2020 - ieeexplore.ieee.org
With the large-scale outbreak of the COVID-19 epidemic in 2020, scientists and medical
workers around the world made contributions to reducing the epidemic outbreak, curing …
workers around the world made contributions to reducing the epidemic outbreak, curing …
A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trends
D Kamelesun, R Saranya, P Kathiravan - arXiv preprint arXiv:2301.11257, 2023 - arxiv.org
Machine learning and deep learning play vital roles in predicting diseases in the medical
field. Machine learning algorithms are widely classified as supervised, unsupervised, and …
field. Machine learning algorithms are widely classified as supervised, unsupervised, and …
[HTML][HTML] SEIAQRDT model for the spread of novel coronavirus (COVID-19): A case study in India
COVID-19 is a global pandemic declared by WHO. This pandemic requires the execution of
planned control strategies, incorporating quarantine, self-isolation, and tracing of …
planned control strategies, incorporating quarantine, self-isolation, and tracing of …
Optimal control strategy for COVID-19 developed using an AI-based learning method
V Kakulapati, A Jayanthiladevi - Journal of Experimental & …, 2023 - Taylor & Francis
The corona virus pandemic has affected millions of people's work and communication.
Millions face a health crisis from SARS-CoV-2, the virus that causes most COVID-19 …
Millions face a health crisis from SARS-CoV-2, the virus that causes most COVID-19 …
Epidemic prediction using machine learning and deep learning models on COVID-19 data
G Mohanraj, AK Luhach… - Journal of Experimental & …, 2023 - ui.adsabs.harvard.edu
A catastrophic epidemic of Severe Acute Respiratory Syndrome-Coronavirus, commonly
recognised as COVID-19, introduced a worldwide vulnerability to human community. All …
recognised as COVID-19, introduced a worldwide vulnerability to human community. All …
Measuring and preventing COVID‐19 using the SIR model and machine learning in smart health care
SA Alanazi, MM Kamruzzaman… - Journal of healthcare …, 2020 - Wiley Online Library
COVID‐19 presents an urgent global challenge because of its contagious nature, frequently
changing characteristics, and the lack of a vaccine or effective medicines. A model for …
changing characteristics, and the lack of a vaccine or effective medicines. A model for …
[HTML][HTML] COVID-19 pandemic, predictions and control in Saudi Arabia using SIR-F and age-structured SEIR model
CAD Durai, A Begum, J Jebaseeli… - The Journal of …, 2022 - Springer
COVID-19 has affected every individual physically or physiologically, leading to substantial
impacts on how they perceive and respond to the pandemic's danger. Due to the lack of …
impacts on how they perceive and respond to the pandemic's danger. Due to the lack of …
[HTML][HTML] Predicting the Spread of a Pandemic Using Machine Learning: A Case Study of COVID-19 in the UAE
Pandemics can result in large morbidity and mortality rates that can cause significant
adverse effects on the social and economic situations of communities. Monitoring and …
adverse effects on the social and economic situations of communities. Monitoring and …