[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives

SG Paul, A Saha, AA Biswas, MS Zulfiker, MS Arefin… - Array, 2023 - Elsevier
COVID-19, a worldwide pandemic that has affected many people and thousands of
individuals have died due to COVID-19, during the last two years. Due to the benefits of …

[HTML][HTML] A machine learning approach for corrosion small datasets

T Sutojo, S Rustad, M Akrom, A Syukur… - npj Materials …, 2023 - nature.com
In this work, we developed a QSAR model using the K-Nearest Neighbor (KNN) algorithm to
predict the corrosion inhibition performance of the inhibitor compound. To overcome the …

[HTML][HTML] Analysis of COVID-19 death cases using machine learning

H Aslam, S Biswas - SN Computer Science, 2023 - Springer
COVID-19 has threatened the existence of human life for more than the last 2 years. More
than 460 million confirmed cases and 6 million deaths have been reported worldwide due to …

[HTML][HTML] A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets

Y Dong, CJ Liang, Y Chen, J Hua - Computational Visual Media, 2024 - Springer
The visual modeling method enables flexible interactions with rich graphical depictions of
data and supports the exploration of the complexities of epidemiological analysis. However …

Used car price prediction model: a machine learning approach

DA Budiono, KS Utomo, KJ Wibowo… - International Journal of …, 2024 - ijcis.net
The impact of the Covid-19 pandemic over the past two years has slowed down the
economy, including the market of used cars. However, the recent decline in the number of …

[HTML][HTML] A Comparative Analysis of Different Strains of Coronavirus Based on Genometric Mappings

IV Stepanyan, MY Lednev - Symmetry, 2022 - mdpi.com
Coronaviruses are viruses that infect the respiratory system of humans. Besides high
mortality rates among the population, they brought about several economic crises on a …

[PDF][PDF] Analyzing the impact of vaccination on COVID-19 confirmed cases and deaths in azerbaijan using machine learning algorithm

MS Hajirahimova, AS Aliyeva - Int. J. Educ. Manag. Eng, 2022 - researchgate.net
For almost two years, the world has been battling a global trouble-the COVID-19 pandemic.
The disease, which has spread to about 225 countries around the world, has devastated the …

Neurotic Factors of Self-Attitude Disorders in Adolescents

D Aleksandrov, I Okhrimenko… - … Conference on Social …, 2021 - atlantis-press.com
The article analyses the relationship between different types of neurotic states with the
functioning peculiarities of different components of the system of adolescent's self-attitude …

Combined Machine Learning Model for Covid-19 Analysis and Forecasting in Ukraine

O Pavliuk, AO Strontsitska - The International Conference on Artificial …, 2022 - Springer
With the rapid spread of the Covid-19 pandemic in Ukraine, there is a need to use existing
and develop new methods for its analysis and forecast. This article proposes a machine …

Visual analysis of social events and stock market volatility in China and the USA during the pandemic

X Ren, J Hua, X Chi, Y Tan - Mathematical Biosciences and …, 2023 - researchers.mq.edu.au
The COVID-19 pandemic is one of the most severe infectious diseases in recent decades,
and has had a significant impact on the global economy, and the stock market. Most existing …