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Teachers' self-efficacy and online teaching during COVID-19 pandemic in qatari governmental schools
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Society for Research and Knowledge Management
, 2021 , Article)
This study investigated primary school teachers' self-efficacy beliefs regarding online teaching during the Covid-19 pandemic and whether it determines any significant differences in self-efficacy levels based on different ...
A particle swarm optimization approach for predicting the number of COVID-19 deaths
(
Nature Research
, 2021 , Article)
The rapid spread of the COVID-19 pandemic has raised huge concerns about the prospect of a major health disaster that would result in a huge number of deaths. This anxiety was largely fueled by the fact that the severe ...
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
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Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ...
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
(
Elsevier
, 2022 , Article)
While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' ...
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
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Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
(
MDPI
, 2022 , Article)
With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient ...
Case Study of Multi-Course Project-Based Learning and Online Assessment in Electrical Engineering Courses during COVID-19 Pandemic
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MDPI
, 2022 , Article)
Due to the COVID-19 pandemic, there was an urgent need to move to online teaching and develop innovative teaching techniques to ensure that student learning outcomes (SOs) were fulfilled. This paper tries to answer the ...
COVID-19 infection map generation and detection from chest X-ray images
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Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep ...
A qualitative assessment of medical students’ readiness for virtual clerkships at a Qatari university during the COVID-19 pandemic
(
Springer Nature
, 2023 , Article)
Background: This study aims to qualitatively examine the readiness of medical students to change to virtual clerkship (VC) during the pandemic, from both the faculty and students’ perspectives. Methods: A qualitative study ...
DL-CRC: Deep learning-based chest radiograph classification for covid-19 detection: A novel approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians continue to seek accurate and rapid diagnosis methods in addition to virus and antibody testing modalities. Because radiographs such ...