Titlebook: Emerging Technologies During the Era of COVID-19 Pandemic; Ibrahim Arpaci,Mostafa Al-Emran,Gon?alo Marques Book 2021 The Editor(s) (if app

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Exploring the Main Determinants of Mobile Learning Application Usage During Covid-19 Pandemic in Jofactors play a crucial role in solving the psychological issues among students. The findings of this research will offer useful recommendations for educational institutions in order to encourage the use of mobile learning applications effectively during Covid-19 pandemic.

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Using mHealth Apps in Health Education of Schoolchildren with Chronic Disease During COVID-19 Pandeng studied is a reliable way of helping schoolchildren increase awareness their disease, but further research efforts should assess the impact of application usage on disease outcomes over a more extended follow-up period as compared to traditional care.

Malfunction

A Survey of Using Machine Learning Algorithms During the COVID-19 Pandemic,n artificial intelligence (AI) techniques, the literature witnessed an abundant amount of machine learning applications on COVID-19. To understand these applications, this study aims to provide an early review of the articles published on the employment of machine learning algorithms in predicting t

Jejune

Deep Learning Techniques and COVID-19 Drug Discovery: Fundamentals, State-of-the-Art and Future Dirhapter provides a comprehensive investigation of fundamentals, state-of-the-art and some perspectives to speed up the process of the design, optimization and production of the medicine for COVID-19 based on Deep Learning (DL) methods. The proposed platforms are able to be used as predictors to forec

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展覽

Computational IT Tool Application for Modeling COVID-19 Outbreak, 2019 (COVID-19) is a new emerging coronavirus infection that causes pandemic in 2020. The outbreak affects more than 200 countries around the world, causing illness in more than 11 million of world population. To understand the outbreak, in the depth epidemiological analysis is important. The use o

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Pudendal-Nerve

Feature Based Automated Detection of COVID-19 from Chest X-Ray Images,g with machine learning can serve as a standardized methodology for detecting COVID-19. Chest X-ray imaging is the most feasible radiological test for COVID-19. Machine learning-based automated classification of COVID-19 from chest X-ray images can act as an assistive method to the medical experts f