[PDF][PDF] Forecasting COVID-19 Infection Using Encoder-Decoder LSTM and Attention LSTM Algorithms.

K Alakkari, AA Subhi, H Alkattan, A Kadi… - Journal of Intelligent …, 2023 - researchgate.net
The COVID-19 epidemic has in fact placed the whole community in a dire predicament that
has led to numerous tragedies, including an economic downturn, political unrest, and job …

[HTML][HTML] Random forest regression for prediction of Covid-19 daily cases and deaths in Turkey

F Özen - Heliyon, 2024 - cell.com
During pandemic periods, there is an intense flow of patients to hospitals. Depending on the
disease, many patients may require hospitalization. In some cases, these patients must be …

[HTML][HTML] Hybrid deep learning algorithm for forecasting SARS-CoV-2 daily infections and death cases

F Alqahtani, M Abotaleb, A Kadi, T Makarovskikh… - Axioms, 2022 - mdpi.com
The prediction of new cases of infection is crucial for authorities to get ready for early
handling of the virus spread. Methodology Analysis and forecasting of epidemic patterns in …

Comparison Analysis of Prediction the Number of Covid-19 Cases Using Support Vector Regression and Long Short-Time Memory

TM Isnaeni, ES Aisyah, M Budiarto… - 2022 IEEE Creative …, 2022 - ieeexplore.ieee.org
Covid-19 emerged as a pandemic outbreak that spread almost worldwide at the end of
December 2019. While this research was carried out, the Covid-19 pandemic was still …

COVID virus prediction in Turkey using artificial intelligent algorithms

AIM Alazow - 2023 - openaccess.altinbas.edu.tr
COVID-19, also known as the coronavirus, has had a major effect on the planet. As countries
and governments seek to mitigate the spread out of the virus and protect their citizens, many …