Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review

HB Syeda, M Syed, KW Sexton, S Syed… - JMIR medical …, 2021 - medinform.jmir.org
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …

A review of strategies and their effectiveness in reducing indoor airborne transmission and improving indoor air quality

AN Nair, P Anand, A George, N Mondal - Environmental Research, 2022 - Elsevier
Airborne transmission arises through the inhalation of aerosol droplets exhaled by an
infected person and is now thought to be the primary transmission route of COVID-19. Thus …

Correlation between COVID-19 morbidity and mortality rates in Japan and local population density, temperature, and absolute humidity

S Kodera, EA Rashed, A Hirata - International journal of environmental …, 2020 - mdpi.com
This study analyzed the morbidity and mortality rates of the coronavirus disease (COVID-19)
pandemic in different prefectures of Japan. Under the constraint that daily maximum …

Navigating the paradigm shift in HRM practices through the lens of artificial intelligence: A post-pandemic perspective

A Mer, AS Virdi - The adoption and effect of artificial intelligence on …, 2023 - emerald.com
Introduction: Human resource management (HRM) is going through a transformation phase
due to the pandemic. The COVID-19 crisis compelled the employees to work virtually. To …

A review of the impact of weather and climate variables to COVID-19: In the absence of public health measures high temperatures cannot probably mitigate outbreaks

D Paraskevis, EG Kostaki, N Alygizakis… - Science of the Total …, 2021 - Elsevier
The new severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) pandemic was
first recognized at the end of 2019 and has caused one of the most serious global public …

Stress, coping, and resilience before and after COVID-19: A predictive model based on artificial intelligence in the university environment

FM Morales-Rodríguez, JP Martínez-Ramón… - Frontiers in …, 2021 - frontiersin.org
The COVID-19 global health emergency has greatly impacted the educational field. Faced
with unprecedented stress situations, professors, students, and families have employed …

Spatio-temporal modeling of COVID-19 prevalence and mortality using artificial neural network algorithms

N Kianfar, MS Mesgari, A Mollalo, M Kaveh - Spatial and Spatio-temporal …, 2022 - Elsevier
The outbreak of coronavirus disease (COVID-19) has become one of the most challenging
global concerns in recent years. Due to inadequate worldwide studies on spatio-temporal …

Pulmonary COVID-19: learning spatiotemporal features combining CNN and LSTM networks for lung ultrasound video classification

B Barros, P Lacerda, C Albuquerque, A Conci - Sensors, 2021 - mdpi.com
Deep Learning is a very active and important area for building Computer-Aided Diagnosis
(CAD) applications. This work aims to present a hybrid model to classify lung ultrasound …

Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: a systematic review

J Musulin, S Baressi Šegota, D Štifanić… - International journal of …, 2021 - mdpi.com
COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …