Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Amal Saadallah"'
Publikováno v:
Global Journal on Quality and Safety in Healthcare, Pp 53-57 (2019)
Background: Patient misidentification prevails in daily practice and remains a critical issue in health care. Being knowledgeable about how to accurately identify patients and comply with identification processes is critical, particularly in countrie
Externí odkaz:
https://doaj.org/article/0e2b945ad33c48559d36d4ade18fb5ce
Publikováno v:
Machine Learning. 111:3459-3487
Both the complex and evolving nature of time series data make forecasting among one of the most challenging tasks in machine learning. Typical methods for forecasting are designed to model time-evolving dependencies between data observations. However
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264214
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::189539d40e9c254acfdf44e23c912e9f
https://doi.org/10.1007/978-3-031-26422-1_2
https://doi.org/10.1007/978-3-031-26422-1_2
Autor:
Amal Saadallah, Barbra M Soule, Salem Alsuwaidan, Fahad AlMansour, Hala A. Amer, Hind A Alzoman, Reem Alwaqdani, Nuha Alwaqdani, Ziad A. Memish
Publikováno v:
Journal of Epidemiology and Global Health
Background The COVID-19 pandemic has been stressful and of considerable concern among health care workers (HCWs). Being particularly at increased risk for exposure, HCWs worry about becoming infected as well as infecting co-workers, patients and fami
Publikováno v:
Applications ISBN: 9783110785982
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5940a9a19fc4d6ef7fc9e4ead262686a
https://doi.org/10.1515/9783110785982-015
https://doi.org/10.1515/9783110785982-015
Publikováno v:
Applications ISBN: 9783110785982
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3ea8cd2e21ded036e8fa434ee1a3aa4
https://doi.org/10.1515/9783110785982-017
https://doi.org/10.1515/9783110785982-017
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 32:234-245
Massive data broadcast by GPS-equipped vehicles provide unprecedented opportunities. One of the main tasks in order to optimize our transportation networks is to build data-driven real-time decision support systems. However, the dynamic environments
The linkage of machines in the context of Industry 4.0 through information and communication technology (ICT) to cyber-physical systems with the aim of monitoring, controlling, and optimizing complex production systems, enables real-time capable appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9368fffa8d56d8a03baacb5501dce417
https://hdl.handle.net/10453/166949
https://hdl.handle.net/10453/166949
In manufacturing systems, early quality prediction enables the execution of corrective measures as early as possible in the production chain, avoiding thus costly rework and waste of resources. The increasing development of Smart Factory Sensors and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::922f280e73ad4802fe9f5c490345e07a
https://hdl.handle.net/10453/166948
https://hdl.handle.net/10453/166948
Autor:
Katharina Morik, Amal Saadallah
Publikováno v:
DSAA
Both complex and evolving nature of time series structure make forecasting among one of the most important and challenging tasks in time series analysis. Typical methods for forecasting are designed to model time-evolving dependencies between data ob