Zobrazeno 1 - 10
of 4 337
pro vyhledávání: '"A. Muthanna"'
In this work, we address the issue of quality of experience (QoE) in unmanned aerial vehicle (UAV) aided multiuser rate-splitting multiple access (RSMA) networks under secrecy constraints. The problem is formulated as maximization of sum mean opinion
Externí odkaz:
http://arxiv.org/abs/2405.14524
Autor:
Adam, Abuzar B. M., Ouamri, Mohamed Amine, Muthanna, Mohammed Saleh Ali, Li, Xingwang, Elhassan, Mohammed A. M., Muthanna, Ammar
In this letter, we propose a deep-unfolding-based framework (DUNet) to maximize the secrecy rate in reconfigurable intelligent surface (RIS) empowered multi-user wireless networks. To tailor DUNet, first we relax the problem, decouple it into beamfor
Externí odkaz:
http://arxiv.org/abs/2401.00192
Publikováno v:
Pharmacia, Vol 71, Iss , Pp 1-6 (2024)
As a part of our ongoing project on the design and synthesis of new 4-thiazolidinone derivatives with antimicrobial activity, four new 4-thiazolidinone derivatives carrying bromo, nitro, methyl, and chloro groups on the benzene ring were synthesized
Externí odkaz:
https://doaj.org/article/421df9216f0a4cdfb855a66f368e58b2
Autor:
AbdulRahman Muthanna, Mohd Nasir Mohd Desa, Nurul Asyikin Abdul Rahman, Nurul Diana Dzaraly, Nurul Hana Zainal Baharin, Nur Afiza Aziz, Chua Hui Shan, Zalina Ismail, Lailatul Akmar Mat Nor, Marlindawati Mohd Ali, Nur Hanani Ahmad, Mohammad Noor Amal Azmai, Syafinaz Amin-Nordin
Publikováno v:
Asian Pacific Journal of Tropical Medicine, Vol 17, Iss 9, Pp 384-391 (2024)
Objective: To address the lack of research on invasive group B Streptococcus (GBS) infections in Malaysia and Southeast Asia through a comprehensive analysis of GBS isolates obtained from hospitals. Methods: Medical records from patients with GBS inf
Externí odkaz:
https://doaj.org/article/56f23b1afb6e4acabcaefee08ebc26fe
Autor:
Vincent Pons, Merethe Strømberg, Godecke-Tobias Blecken, Franz Tscheikner-Gratl, Maria Viklander, Tone Merete Muthanna
Publikováno v:
Water Science and Technology, Vol 90, Iss 1, Pp 398-412 (2024)
In this study, we show that pollutants of emerging concern are, by nature, prone to the emergence of epistemic uncertainty. We also show that the current uncertainty quantification methods used for pollutant modelling rely almost exclusively on param
Externí odkaz:
https://doaj.org/article/b5f2607b8e83402387093362cb3afb3b
Autor:
Alaa Farhan Ahmed, Muthanna Sulaiman
Publikováno v:
المجلة العراقية للعلوم الاحصائية, Vol 21, Iss 1, Pp 90-101 (2024)
The transition matrix estimators of the Markov chain are not accurate and the transition matrix is considered given. There are many methods that are used to estimate the transition probabilities matrix for different cases, the most famous of which is
Externí odkaz:
https://doaj.org/article/41f333a676ae4c829f3a93cfaa3a9c37
Publikováno v:
Iraqi Journal for Computers and Informatics, Vol 50, Iss 1, Pp 105-122 (2024)
This study describes a lightweight deep learning model trained on a self-made image dataset taken inside farms and open areas of the Holy Shrine of Al-Hussainiya in the City of Karbala, Iraq. This dataset includes fire and smoke images taken using a
Externí odkaz:
https://doaj.org/article/d6e33ed03c054d2fbb28730740dab98f
Autor:
Majeed, Majidah H., Ahmed, Riyadh Khlf, Alnasar, Suha I., Mahmood, Omar Abdulkareem, Muthanna, Mohammed Saleh Ali, Muthanna, Ammar
Publikováno v:
In Optical Fiber Technology December 2024 88
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
Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 3, Iss 3 (2024)
Face recognition technology is a biometric method used to identify or verify individuals by their facial characteristics. It is widely used in commercial and law enforcement applications, such as surveillance systems, passport verification, security
Externí odkaz:
https://doaj.org/article/f0dc0e3be7b348249463d4ad9b33044f