Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Abrar Saad"'
Autor:
Hind M. Al-Osaimi, Mohammed Kanan, Lujain Marghlani, Badria Al-Rowaili, Reem Albalawi, Abrar Saad, Saba Alasmari, Khaled Althobaiti, Zainab Alhulaili, Abeer Alanzi, Rawan Alqarni, Razan Alsofiyani, Reem Shrwani
Publikováno v:
Human Vaccines & Immunotherapeutics, Vol 20, Iss 1 (2024)
ABSTRACTInsect vector-borne diseases (VBDs) pose significant global health challenges, particularly in tropical and subtropical regions. The WHO has launched the “Global Vector Control Response (GVCR) 2017–2030” to address these diseases, empha
Externí odkaz:
https://doaj.org/article/86d8d4d6e2dc4c9090a9e8ac4a347204
The COVID-19 Forecast Hub, a repository of COVID-19 forecasts from over 50 independent research groups, is used by the Centers for Disease Control and Prevention (CDC) for their official COVID-19 communications. As such, the Forecast Hub is a critica
Externí odkaz:
http://arxiv.org/abs/2405.14891
Early in the pandemic, counties and states implemented a variety of non-pharmacological interventions (NPIs) focused on mobility, such as national lockdowns or work-from-home strategies, as it became clear that restricting movement was essential to c
Externí odkaz:
http://arxiv.org/abs/2405.11121
One of the central difficulties of addressing the COVID-19 pandemic has been accurately measuring and predicting the spread of infections. In particular, official COVID-19 case counts in the United States are under counts of actual caseloads due to t
Externí odkaz:
http://arxiv.org/abs/2405.10355
COVID-19 forecasting models have been used to inform decision making around resource allocation and intervention decisions e.g., hospital beds or stay-at-home orders. State of the art deep learning models often use multimodal data such as mobility or
Externí odkaz:
http://arxiv.org/abs/2405.09483
Human mobility data has been extensively used in covid-19 case prediction models. Nevertheless, related work has questioned whether mobility data really helps that much. We present a systematic analysis across mobility datasets and prediction lookahe
Externí odkaz:
http://arxiv.org/abs/2407.10304
Autor:
Yedida, Rahul, Abrar, Saad Mohammad, Melo-Filho, Cleber, Muratov, Eugene, Chirkova, Rada, Tropsha, Alexander
Objective: We aim to learn potential novel cures for diseases from unstructured text sources. More specifically, we seek to extract drug-disease pairs of potential cures to diseases by a simple reasoning over the structure of spoken text. Materials a
Externí odkaz:
http://arxiv.org/abs/2011.07959
Publikováno v:
In Computers, Environment and Urban Systems June 2023 102
Autor:
Moon, Changsung, Jin, Chunming, Dong, Xialan, Abrar, Saad, Zheng, Weifan, Chirkova, Rada Y., Tropsha, Alexander
Publikováno v:
In Journal of Biomedical Informatics July 2021 119
Autor:
Abrar Saad Kadhim, Mehdi Ebady Manaa
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 11:3462-3470
Fog computing is a novel idea created by Cisco that provides the same capabilities as cloud computing but close to objects to improve performance, such as by minimizing latency and reaction time. Packet failure can happen on a single fog server acros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::726781e98b719ceee60d2633b3ae4569
https://doi.org/10.11591/eei.v11i6.4127
https://doi.org/10.11591/eei.v11i6.4127