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Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
(
IEEE
, 2021 , Conference Paper)
COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ...
Migrant Workers Impact on Social life of the Gulf Countries During COVID 19
(
Gulf Studies center - College of Arts & Sciences - Qatar University
, 2020 , Conference Paper)
Six GCC countries are the home of the global migrant workers. As at present estimated that about 56 million population of collectively of GCC among 30 million populations are not nationals.Huge migrants population and ...
Social Impact of COVID-19 on Qatari Families: Challenges and Coping Strategies
(
Gulf Studies center - College of Arts & Sciences - Qatar University
, 2021 , Conference Paper)
The pandemic of the coronavirus has swept the world and affected health, economic, social and financial aspects on all countries around the world in an unprecedented way due to its universal spread. Qatar is no exception ...
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection
(
Association for Computational Linguistics (ACL)
, 2021 , Conference Paper)
In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of April 2020. We collected 138 verified claims, ...
A framework for Effective Communication and Delivering Online Courses during the COVID-19 Pandemic
(
Decision Sciences Institute (DSI)
, 2020 , Conference Paper)
The COVID-19 pandemic has enforced higher education institutions across the globe to move from traditional face-to-face learning to online education. It has been proven that higher education institutions that were well ...
OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
(
IEEE
, 2022 , Conference Paper)
Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ...
COVID-19 and Migrant Workers in the Gulf
(
Gulf Studies center - College of Arts & Sciences - Qatar University
, 2020 , Conference Paper)
As the global COVID-19 crisis unfolds, the Gulf countries faces an unprecedent challenge of containing the spread of the virus among the non-national residents. Since migrants in Gulf countries live primarily in labour ...
Analyzing the Role of Government in the Management and Planning of Tourism Crisis; A Case Study of the COVID-19 Crisis
(
Gulf Studies center - College of Arts & Sciences - Qatar University
, 2020 , Conference Paper)
The tourism planning and management is a collective action in which different actors of governmental and non-governmental organizations and institutions are involved. It is necessary to manage this phenomenon both during ...
GIS-Based Solutions for Monitoring and Controlling COVID-19 in ASHGHAL Construction Projects: Improving Construction Sector Resilience
(
Qatar University Press
, 2023 , Conference Paper)
Early in 2020, doctors around the globe identified the virus responsible for Coronavirus disease 2019 (COVID-19). Rapidly spreading, the virus reached every continent. As part of its efforts to prepare for the FIFA World ...
Post-Covid-19 Ventilation Strategies for Shopping Malls in Hot Humid Climate
(
Qatar University Press
, 2023 , Conference Paper)
To date, many strategies have been executed to combat the COVID-19 disease, including the provision of good ventilation in buildings to reduce the spread of the virus. Open or semi-open space with good air exchange between ...