Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohsen Abbaspour Onari"'
Publikováno v:
Artificial Intelligence Review.
Publikováno v:
Quality Engineering, 34(2), 191-204. Taylor and Francis Ltd.
When a risk occurs in a stage of the production process, it can be due to the risks of the previous stages, or it is effective in causing the risks in the later stages. The current paper proposes an intelligent approach based on cause-and-effect rela
Autor:
Mustafa Jahangoshai Rezaee, Azra Alizadeh, Mohsen Abbaspour Onari, Samuel Yousefi, Masome Rabieepour
Publikováno v:
Complex & Intelligent Systems
The main assay tool of COVID-19, as a pandemic, still has significant faults. To ameliorate the current situation, all facilities and tools in this realm should be implemented to encounter this epidemic. The current study has endeavored to propose a
Publikováno v:
Operational Research. 22:2133-2171
Supplier Selection (SS) is a critical issue due to intense competition in the current market and the need to provide customer necessities with acceptable quality. On the other hand, SS depends on various criteria that make it a Multi-Criteria Decisio
Publikováno v:
Artificial Intelligence Review. 54:1349-1383
The Failure Mode and Effects Analysis (FMEA) technique due to its proactive nature can identify failures and their causes as well as potential effects, and provide preventive/controlling measures before they occur. Nevertheless, some of the shortcomi
Autor:
Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst
Publikováno v:
2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, 1-8
STARTPAGE=1;ENDPAGE=8;TITLE=2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022
STARTPAGE=1;ENDPAGE=8;TITLE=2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022
Machine Learning (ML) models play an important role in healthcare thanks to their remarkable performance in predicting complex phenomena. During the COVID-19 pandemic, different ML models were implemented to support decisions in the medical settings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd1c3d1139919d308ebb0721d59d221a
https://hdl.handle.net/10278/5007341
https://hdl.handle.net/10278/5007341