Zobrazeno 1 - 10
of 3 204
pro vyhledávání: '"A. A. Alsheikh"'
The no-reference image quality assessment is a challenging domain that addresses estimating image quality without the original reference. We introduce an improved mechanism to extract local and non-local information from images via different transfor
Externí odkaz:
http://arxiv.org/abs/2409.07115
This paper presents a novel Collaborative Cyberattack Detection (CCD) system aimed at enhancing the security of blockchain-based data-sharing networks by addressing the complex challenges associated with noise addition in federated learning models. L
Externí odkaz:
http://arxiv.org/abs/2409.04972
Autor:
Belal, Mohammad, Hassan, Taimur, Hassan, Abdelfatah, Alsheikh, Nael, Elhendawi, Noureldin, Hussain, Irfan
Human activity recognition is a major field of study that employs computer vision, machine vision, and deep learning techniques to categorize human actions. The field of deep learning has made significant progress, with architectures that are extreme
Externí odkaz:
http://arxiv.org/abs/2408.16442
Autor:
Belal, Mohammad, Hassan, Taimur, Ahmed, Abdelfatah, Aljarah, Ahmad, Alsheikh, Nael, Hussain, Irfan
Human activity recognition (HAR) is a crucial area of research that involves understanding human movements using computer and machine vision technology. Deep learning has emerged as a powerful tool for this task, with models such as Convolutional Neu
Externí odkaz:
http://arxiv.org/abs/2406.16638
Autor:
I. E. El-Shamy, E. Hleli, A. A. Alsheikh, M. A. Yawer, M. A. El-Hashash, J. Dybal, A. M. Abdel-Mohsen
Publikováno v:
Molecules, Vol 28, Iss 1, p 317 (2022)
A highly efficient and versatile synthetic approach for the synthesis of 4-(pyren-1-ylmethyl)-1-(d-glycosyloxy) phthalazine nucleosides 11a,b, 13, β-S-nucleosides 16, 18, 20, and acyclo C-nucleosides 23a,b, 24, 25 and 27a–f was described and fully
Externí odkaz:
https://doaj.org/article/f616bb41701546a685b7768e97041c5e
Autor:
Hassan, Md Arif, Jamshidi, Mohammad Behdad, Manh, Bui Duc, Chu, Nam H., Nguyen, Chi-Hieu, Hieu, Nguyen Quang, Nguyen, Cong T., Hoang, Dinh Thai, Nguyen, Diep N., Van Huynh, Nguyen, Alsheikh, Mohammad Abu, Dutkiewicz, Eryk
Web 3.0 represents the next stage of Internet evolution, aiming to empower users with increased autonomy, efficiency, quality, security, and privacy. This evolution can potentially democratize content access by utilizing the latest developments in en
Externí odkaz:
http://arxiv.org/abs/2401.10901
The ability to sense, localize, and estimate the 3D position and orientation of the human body is critical in virtual reality (VR) and extended reality (XR) applications. This becomes more important and challenging with the deployment of VR/XR applic
Externí odkaz:
http://arxiv.org/abs/2310.20228
Patient satisfaction using handheld ultrasound at emergency department in Jordan University Hospital
Autor:
Ihab Alasasfeh, Yousef Almashakbeh, Shadin Jwaifel, Farah AlSheikh, Hiba Mihyar, Nansi M. Abdelrahim
Publikováno v:
International Journal of Emergency Medicine, Vol 17, Iss 1, Pp 1-7 (2024)
Abstract Introduction The use of portable ultrasound equipment in emergency medicine has shown the capacity to greatly improve patient care in the swiftly changing field. This research evaluates the influence of the Butterfly POCUS device on patient
Externí odkaz:
https://doaj.org/article/29d47c6a8dce4fefb83c63f5a07bb1f2
Autor:
Haitham Mohsin Kareem, Awatif Hodaed Alsheikh, Warda Hodaed Alsheikh, Mohammed Dauwed, Ahmed Meri
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract This paper examined accounting information systems (AIS) as a mediator between small and medium-sized enterprises (SMEs) strategies, including (finance source, administrative innovation, organizational culture, developing capabilities levels
Externí odkaz:
https://doaj.org/article/b548dd47c53942a58f148111a1245c2d
Autor:
Khoa, Tran Viet, Son, Do Hai, Nguyen, Chi-Hieu, Hoang, Dinh Thai, Nguyen, Diep N., Quynh, Tran Thi Thuy, Hoang, Trong-Minh, Ha, Nguyen Viet, Dutkiewicz, Eryk, Alsheikh, Abu, Trung, Nguyen Linh
With the escalating prevalence of malicious activities exploiting vulnerabilities in blockchain systems, there is an urgent requirement for robust attack detection mechanisms. To address this challenge, this paper presents a novel collaborative learn
Externí odkaz:
http://arxiv.org/abs/2308.15804