تصفح COVID-19 Research حسب الموضوع "Machine learning"
السجلات المعروضة 1 -- 7 من 7
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A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices
( Elsevier , 2022 , Article Review)Screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among symptomatic and asymptomatic patients offers unique opportunities for curtailing the transmission of novel coronavirus disease 2019, commonly ... -
A new approach to predicting cryptocurrency returns based on the gold prices with support vector machines during the COVID-19 pandemic using sensor-related data
( MDPI , 2021 , Article)In a real-world situation produced under COVID-19 scenarios, predicting cryptocurrency returns accurately can be challenging. Such a prediction may be helpful to the daily economic and financial market. Unlike forecasting ... -
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
( Springer , 2021 , Article)COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable, and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce ... -
Forecasting the impact of environmental stresses on the frequent waves of COVID19
( Springer , 2021 , Article)A novel approach to link the environmental stresses with the COVID-19 cases is adopted during this research. The time-dependent data are extracted from the online repositories that are freely available for knowledge and ... -
The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar
( Elsevier Ltd , 2022 , Article)The goal of this study is to use machine-learning (ML) techniques and empirical big data to examine the influence of the COVID-19 pandemic on electricity usage and electricity demand forecasting accuracy in buildings in ... -
Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic
( Springer Nature , 2023 , Article)Background: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has ... -
RELIABLE COVID-19 DETECTION USING CHEST X-RAY IMAGES
( IEEE Computer Society , 2021 , Conference Paper)Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest ...