Zobrazeno 1 - 10
of 35
pro vyhledávání: '"SAMİ, Said"'
Autor:
Gökmen, Ayşe1 ayseemurat@gmail.com, Sami, Said2 saidsami2525@gmail.com
Publikováno v:
Journal of Faculty of Theology, Sakarya University / Sakarya Üniversitesi Ilahiyat Fakültesi Dergisi. haz2024, Vol. 26 Issue 49, p105-131. 27p.
Autor:
Haidar Hosamo Hosamo, Christian Nordahl Rolfsen, Florent Zeka, Sigurd Sandbeck, Sami Said, Morten André Sætre
Publikováno v:
Infrastructures, Vol 9, Iss 4, p 75 (2024)
Exploring the integration of 5D Building Information Modeling (BIM) within the Norwegian construction sector, this study examines its transformative impact on cost estimation and project management, highlighting technological and skill-based adoption
Externí odkaz:
https://doaj.org/article/154b6bd514fa46b6be20f8764b9ced25
Autor:
SAMİ, Said
Publikováno v:
İlahiyat Tetkikleri Dergisi / Journal of Ilahiyat Researches. (55):421-444
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=965695
Autor:
Ahmed Obaid Almashaykhi, Randa M Nooh, Sami Said Almudarra, Abdulaziz Saad ALMutari, Naif Saud ALBudayri, Khalid Masoud AlGhamdi, Ali Aldarwish
BACKGROUND Annually, in the month of Dhul hijjah, over 2 million Muslims travel to Saudi Arabia to perform hajj. Hajj is the biggest mass gathering globally, which creates a substantial influence on hajjes’ health. The Omani medical mission is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a218d3ce4171bccddf25cfeb4cbd6f96
https://doi.org/10.2196/preprints.36393
https://doi.org/10.2196/preprints.36393
Autor:
Yahya, Sami Said
Machine learning methods are increasingly being used in the maritime domain to predict traffic anomalies and to mitigate risk, for example avoiding collision and groundingaccidents. However, most machine learning systems used for detecting such issue
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-192043
Autor:
Yahya, Sami Said
Machine learning methods are increasingly being used in the maritime domain to predict traffic anomalies and to mitigate risk, for example avoiding collision and groundingaccidents. However, most machine learning systems used for detecting such issue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______261::e3a7d0e696b323157aa406d3f48e6302
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-192043
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-192043
Publikováno v:
Issue: 17 513-566
FSM İlmi Araştırmalar İnsan ve Toplum Bilimleri Dergisi
FSM İlmi Araştırmalar İnsan ve Toplum Bilimleri Dergisi
COVID-19’un yayılması birkaç hafta içinde salgın düzeyine ulaştı. İnsanlar COVID-19›dan psikolojik olarak etkilendikleri için başa çıkma ve dini başa çıkma tarzlarınayöneldi. Bu bağlamda, bu çalışmanın temel amacı COVID-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::2af25def87a7537064113ba19ed4b5ad
https://dergipark.org.tr/tr/pub/fsmia/issue/62991/957122
https://dergipark.org.tr/tr/pub/fsmia/issue/62991/957122
Autor:
Ahmed Almashaykhi, Randa M. Nooh, Sami Said Almudarra, Abdulaziz Saad Almutari, Naif Albudayri, Khalid Masoud Alghamdi
Publikováno v:
Endocrine Practice. 27:S25-S26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::224fdedbddc165685ba939274310721d
https://doi.org/10.1016/j.eprac.2021.11.033
https://doi.org/10.1016/j.eprac.2021.11.033
Purpose: To assess the clinical safety and possible effectiveness of Vasoactive Intestinal Peptide in the treatment of Acute Respiratory Distress Syndrome (ARDS) related to sepsisMethods: Under FDA Investigational New Drug clearance, 8 patients with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af4186e48c00007f42508dbf6416d534
https://doi.org/10.21203/rs.3.rs-52237/v1
https://doi.org/10.21203/rs.3.rs-52237/v1