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Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
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Elsevier
, 2023 , Article)
Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, ...
Effects of previous infection, vaccination, and hybrid immunity against symptomatic Alpha, Beta, and Delta SARS-CoV-2 infections: an observational study
(
Elsevier
, 2023 , Article)
BackgroundProtection against SARS-CoV-2 symptomatic infection and severe COVID-19 of previous infection, mRNA two-dose vaccination, mRNA three-dose vaccination, and hybrid immunity of previous infection and vaccination ...
Airline effective operations strategy during COVID-19 pandemic: across regional worldwide survey
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Emerald Publishing
, 2021 , Article)
Purpose: This study aims to identify the effective operational strategies for airlines in a pandemic that allow them to recover and bounce back smoothly. Design/methodology/approach: This study adopted quantitative methodology ...
Medical image analysis
(
Elsevier
, 2022 , Book chapter)
This chapter presents deep learning methodologies for medical imaging tasks. The chapter starts with echocardiography for early detection of myocardial infarction (MI) or commonly known as heart attack. Early and fundamental ...
Rasch Modeling and Multilevel Confirmatory Factor Analysis for the Usability of the Impact of Event Scale-Revised (IES-R) during the COVID-19 Pandemic
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Multidisciplinary Digital Publishing Institute (MDPI)
, 2022 , Article)
Background: Several instruments are currently used to assess Coronavirus Disease 2019 (COVID-19) -induced psychological distress, including the 22-item Impact of Event Scale-Revised (IES-R). The IES-R is a self-administered ...
AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges
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Springer
, 2021 , Article)
The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many parts of the world. Healthcare professionals are not only over-burdened but also at a high risk of nosocomial transmission from COVID-19 ...
Drive-up INR testing and phone-based consultations service during COVID-19 pandemic in a pharmacist-lead anticoagulation clinic in Qatar: Monitoring, clinical, resource utilization, and patient- oriented outcomes
(
Wiley
, 2021 , Article)
Background: Coronavirus disease 2019 (COVID-19) pandemic has resulted in unprecedented pressure on healthcare systems and led to widespread utilization of telemedicine or telehealth services. Combined with teleclinics, ...
COVID-19 Optimizer Algorithm, Modeling and Controlling of Coronavirus Distribution Process
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The emergence of novel COVID-19 is causing an overload on public health sector and a high fatality rate. The key priority is to contain the epidemic and reduce the infection rate. It is imperative to stress on ensuring ...
Changes in air quality during the first-level response to the COVID-19 pandemic in Shanghai Municipality, China
(
MDPI
, 2020 , Article)
Ongoing rapid urban population growth world-wide has led to serious environmental problems that affect ecosystems and also lower the security and happiness of urban residents about their living environment. The most ...
QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds
(
MDPI
, 2022 , Article)
Problem-Since the outbreak of the COVID-19 pandemic, mass testing has become essential to reduce the spread of the virus. Several recent studies suggest that a significant number of COVID-19 patients display no physical ...