Zobrazeno 1 - 10
of 4 553
pro vyhledávání: '"Albalawi AS"'
Publikováno v:
Proceedings of the 4th International Workshop on Distributed Machine Learning December 2023
Traditional AI methodologies necessitate centralized data collection, which becomes impractical when facing problems with network communication, data privacy, or storage capacity. Federated Learning (FL) offers a paradigm that empowers distributed AI
Externí odkaz:
http://arxiv.org/abs/2312.02074
Autor:
Abdullah Altawili, Mohammed A. Albalawi, Saeed A. Albalawi, Dhafer M. Alyami, Abdulrahman A. Alatawi, Khalid S. Albalawi, Muath A. Alghassab, Turki F. O. Alotaibi, Alanoud A. H. Althobaiti, Ahmed Abu-Zaid
Publikováno v:
The Saudi Journal of Gastroenterology, Vol 30, Iss 5, Pp 319-323 (2024)
Background: Several investigations suggested correlation between microscopic colitis (MC) and celiac disease (CD). This study aimed to examine this relationship using large-sized, population-based data with adequate control for confounding factors. M
Externí odkaz:
https://doaj.org/article/49f209ed98944231ac4fbaa809651f57
Autor:
Al-Momani H, Albalawi H, Al Balawi D, Khleifat KM, Aolymat I, Hamed S, Albiss BA, Khasawneh AI, Ebbeni O, Alsheikh A, Zueter AM, Pearson JP, Ward C
Publikováno v:
International Journal of Nanomedicine, Vol Volume 19, Pp 12461-12481 (2024)
Hafez Al-Momani,1 Hadeel Albalawi,2 Dua’a Al Balawi,2 Khaled M Khleifat,3 Iman Aolymat,4 Saja Hamed,5 Borhan Aldeen Albiss,6 Ashraf I Khasawneh,1 Ola Ebbeni,7 Ayman Alsheikh,8 AbdelRahman M Zueter,9 Jeffrey Peter Pearson,10 Christopher Ward11 1Depa
Externí odkaz:
https://doaj.org/article/e2681d12b75a4424972cea9b8fcd65ed
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 690-697 (2024)
In investigations of domains under post-stratified random sampling, it is difficult to get an acceptable precision for domain-specific estimates due to low sample sizes. Small area estimate, a popular technique that has been widely used over the past
Externí odkaz:
https://doaj.org/article/99d8cbdfd5cf45c28bbda3bbfe576adc
Autor:
Alotaibi Amenah S., Alhumairi Abrar M., Ghabban Hanaa, Alenzi Asma Massad, Alatawy Marfat, Albalawi Doha A., Alanazi Yasmene F., Hamouda Ragaa A.
Publikováno v:
Green Processing and Synthesis, Vol 13, Iss 1, Pp 97-108 (2024)
The risks and challenges of the NEOM project on water bodies can be somehow resolved by using Cystoseria sp., a brown-green macroalga, and natural renewable resource species, which are appealing due to their sustainability, cost-effectiveness, and ec
Externí odkaz:
https://doaj.org/article/5071e0dd66f944ea9383406c100aefe1
Publikováno v:
Patient Preference and Adherence, Vol Volume 18, Pp 2337-2345 (2024)
Palanisamy Amirthalingam,1 Abdulrahman Sulaiman Alruwaili,2 Omar Ahmed Albalawi,2 Fayez Mohammed Alatawi,2 Saleh F Alqifari,1 Ahmed D Alatawi,3 Ahmed Aljabri4 1Department of Pharmacy Practice, Faculty of Pharmacy, University of Tabuk, Tabuk, Saudi Ar
Externí odkaz:
https://doaj.org/article/90d567b2686d48b0acbff77c4f1fc368
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 521-532 (2024)
It has been widely acknowledged that probability-based methodologies play a crucial role in guiding decision-making processes when faced with uncertain or vague circumstances. To ensure that decisions made under such conditions are both meaningful an
Externí odkaz:
https://doaj.org/article/c670fcff13204dbea64ca06443ba17f8
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 392-402 (2024)
Statistical analysis of the time-to-event scenarios commonly involves the use of the exponential and Rayleigh distributions. However, the exponential distribution is constrained by its constant failure rate, while the Rayleigh distribution exhibits a
Externí odkaz:
https://doaj.org/article/64a0ae86ba234285a8e3dd8b991824fb
Autor:
James Daniel, Kayode Ayinde, Adewale F. Lukman, Olayan Albalawi, Jeza Allohibi, Abdulmajeed Atiah Alharbi
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 30781-30815 (2024)
This study introduced the optimized block bootstrap (OBB), a novel method designed to enhance time series prediction by reducing the number of blocks while maintaining their representativeness. OBB minimized block overlap, resulting in greater comput
Externí odkaz:
https://doaj.org/article/b0692de195964675835c640581c324ba
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract An adequate bedload prediction is a challenging task in hydraulic engineering because of the complex sediment transport processes and corresponding environmental factors. The current study introduces a novel comparative ensemble approach usi
Externí odkaz:
https://doaj.org/article/59c65210d3e245579697d78958d7f7ef