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of 7
pro vyhledávání: '"Rana Othman"'
Autor:
Jamshed Ali Shaikh, Chengliang Wang, Wajeeh Us Sima Muhammad, Muhammad Arshad, Muhammad Owais, Rana Othman Alnashwan, Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna
Publikováno v:
Frontiers in Digital Health, Vol 6 (2024)
The Internet of Medical Things (IoMT) has revolutionized healthcare with remote patient monitoring and real-time diagnosis, but securing patient data remains a critical challenge due to sophisticated cyber threats and the sensitivity of medical infor
Externí odkaz:
https://doaj.org/article/502ed3c9e9654606ae107a06d99c3cee
Autor:
Rana Othman Alnashwan, Samia Allaoua Chelloug, Nabil Sharaf Almalki, Imene Issaoui, Abdelwahed Motwakel, Ahmed Sayed
Publikováno v:
IEEE Access, Vol 11, Pp 142643-142651 (2023)
Recently, deep learning models have become more prominent due to their tremendous performance for real-time tasks like face recognition, object detection, natural language processing (NLP), instance segmentation, image classification, gesture recogni
Externí odkaz:
https://doaj.org/article/a9f94894aeae4f27bf785f94f07d0806
Akademický článek
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Autor:
Shaikh, Jamshed Ali, Wang, Chengliang, Sima Muhammad, Wajeeh Us, Arshad, Muhammad, Owais, Muhammad, Alnashwan, Rana Othman, Chelloug, Samia Allaoua, Ali Muthanna, Mohammed Saleh
Publikováno v:
Frontiers in Digital Health; 2024, p1-12, 12p
Akademický článek
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Autor:
Nader Ashraf Fawzy, Rana Othman, Mhd Adnan Al Douman, Noon Elfatih, Omar Alrefai, Nabeel Basha, Dana AbuObead, Salsabil Abbad, M. Yaman Swied
Memory retention is an intricate process and numerous research is still going on from the past decades to understand the cognitive functions and its effect on all daily tasks. For example, one of the new methods for improving long-term retention is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4699f13ea2b47765c0cdf4356879905
https://doi.org/10.14293/s2199-1006.1.sor-.ppi0uhv.v2
https://doi.org/10.14293/s2199-1006.1.sor-.ppi0uhv.v2
Publikováno v:
ANT/MobiWIS
In this paper, we present different papers discussing smart environments for energy savings. Such systems consist of sensors embedded in an environment that allow a control system to perceive its current state. The control system can save energy by t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::851037d7d40628fa50e8f7dc4834d9ae