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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 ...
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 ...
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 ...
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 ...
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, ...