Descriptive statistics.

<div><p>The COVID-19 pandemic has had a significant impact on both the United Arab Emirates (UAE) and Malaysia, emphasizing the importance of developing accurate and reliable forecasting mechanisms to guide public health responses and policies. In this study, we compared several cutting-...

Full description

Saved in:

Bibliographic Details
Main Author:	Muhammad Usman Tariq (11022141) (author)
Other Authors:	Shuhaida Binti Ismail (16625256) (author)
Published:	2024
Subjects:	Medicine Sociology Biological Sciences not elsewhere classified united arab emirates relevant socioeconomic factors recurrent neural networks providing crucial insights including long short generating reliable projections convolutional neural networks compared several cutting bayesian optimization techniques reliable forecasting mechanisms study contributes significantly deep learning methodologies comparative predictive models deep learning timely forecasting forecasting covid xlink "> virus spread thorough evaluation term memory study confirms specific conditions rnn ), public health primary objective ongoing efforts model architectures findings indicate enabling authorities effective model developing accurate develop targeted comprehensive dataset based interventions analytic approaches aforementioned regions 19 pandemic 19 cases
Tags:	Add Tag No Tags, Be the first to tag this record!

Descriptive statistics.

Similar Items