Zobrazeno 1 - 10
of 520
pro vyhledávání: '"Aljubran, A."'
This study presents a data-driven spatial interpolation algorithm based on physics-informed graph neural networks used to develop national temperature-at-depth maps for the conterminous United States. The model was trained to approximately satisfy th
Externí odkaz:
http://arxiv.org/abs/2403.09961
Autor:
AlSharhan SS, AlMarzouq WF, Alshaikh HK, Aljubran HJ, Alghamdi R, AlQahtani SM, Almarzouq AF, AlAmer NA
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 17, Pp 4101-4111 (2024)
Salma S AlSharhan,1 Wasan F AlMarzouq,1 Hamzah K Alshaikh,2 Hussain J Aljubran,3 Rizam Alghamdi,4 Sarah M AlQahtani,4 Aseel F Almarzouq,5 Naheel A AlAmer6 1Department of Otorhinolaryngology Head & Neck Surgery, College of Medicine, Imam Abdulrahman B
Externí odkaz:
https://doaj.org/article/545e1939c27d4163835c52d8a7da8a53
Autor:
Mohammad J. Aljubran, Roland N. Horne
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract We investigated the techno-economic feasibility and power supply potential of enhanced geothermal systems (EGS) across the contiguous United States using a new subsurface temperature model and detailed simulations of EGS project life cycle.
Externí odkaz:
https://doaj.org/article/1a381c8dbfd54ca2931d58ef0120d708
Autor:
Mohammad J. Aljubran, Roland N. Horne
Publikováno v:
Geothermal Energy, Vol 12, Iss 1, Pp 1-48 (2024)
Abstract This study presents a data-driven spatial interpolation algorithm based on physics-informed graph neural networks used to develop a thermal Earth model for the conterminous United States. The model was trained to approximately satisfy Fourie
Externí odkaz:
https://doaj.org/article/ff95f891d1d5493c9df282105e4d178d
Publikováno v:
Diabetes, Metabolic Syndrome and Obesity, Vol Volume 17, Pp 2075-2083 (2024)
Ibrahim S AL-asiri,1 Fahad G Almatrafi,1 Saja D Al-thagafi,1 Amani M AlQarni,2 Hussain J Aljubran,3 Abdullah K Aljamaan,3 Noura Al-Zahrani4 1Diabetes and Endocrine Specialist Centre, Prince Mansour Military Hospital, Taif, Saudi Arabia; 2Family and C
Externí odkaz:
https://doaj.org/article/ef1dbaf3498941af9583ecabef5751cf
Autor:
AlQarni AM, Alghamdi AA, Aljubran HJ, Bamalan OA, Abuzaid AH, AlYahya MA, AlAwami AM, Al Shubbar MD, Al Yousif GF
Publikováno v:
International Journal of Women's Health, Vol Volume 16, Pp 797-809 (2024)
Amani M AlQarni,1 Amal A Alghamdi,1 Hussain J Aljubran,2 Omar A Bamalan,2 Abdullah H Abuzaid,2 Mohammed A AlYahya,2 Ahmed M AlAwami,2 Mohammed D Al Shubbar,2 Ghada F Al Yousif1 1Department of Family and Community Medicine, College of Medicine, Imam A
Externí odkaz:
https://doaj.org/article/961caf3bb0074b36a47a6781ea4774d5
Autor:
Maitham Jawad Aljubran, Hussain Jawad Aljubran, Mohammad Aljubran, Mohammed Alkhalifah, Moayd Alkhalifah, Tawfik Alabdullah
Publikováno v:
Saudi Journal of Emergency Medicine, Vol 4, Iss 2, Pp 112-119 (2023)
Background: Machine learning in the healthcare sector represents a group of technologies in all aspects of medicine, and it appears promising, especially in emergency medicine. Hence, this study aims to utilize emergency department (ED) records to tr
Externí odkaz:
https://doaj.org/article/e9721f2b5bf04d5b9f9db39d736bcecb
Autor:
Aljubran, Mohammad J.1 (AUTHOR) aljubrmj@stanford.edu, Horne, Roland N.1 (AUTHOR)
Publikováno v:
Scientific Reports. 7/31/2024, Vol. 14 Issue 1, p1-13. 13p.
Autor:
AlSharhan, Salma Saud ⁎, AlNafea, Norah Mohammad, Ashoor, Mona Mohammad, AlMarzouq, Wasan Fahad, AlHumaid, Salwa ALRashed, ALBahrani, Nada Abdallah, Nemer, Areej Manssour Al, AlOmar, Reem S., Aljubran, Hussain Jawad
Publikováno v:
In Brazilian Journal of Otorhinolaryngology November-December 2024 90(6)
Autor:
Mousa J. Slail, Rayan Y. Booq, Ibrahim H. Al-Ahmad, Arwa A. Alharbi, Shafi F. Alharbi, Mutlaq Z. Alotaibi, Abdulaziz M. Aljubran, Ahmad M. Aldossary, Ziad A. Memish, Essam J. Alyamani, Essam A. Tawfik, Abdulwahab Z. Binjomah
Publikováno v:
Journal of Epidemiology and Global Health, Vol 13, Iss 4, Pp 782-793 (2023)
Abstract The incidence of extrapulmonary tuberculosis (EPTB) in low- and middle-income countries, as well as, high-income countries has increased over the last two decades. The acid-fast bacillus (AFB) smear test is easy to perform and cost-effective
Externí odkaz:
https://doaj.org/article/790b7b7422ce4bc5843b88d96a9bda15