Zobrazeno 1 - 10
of 6 644
pro vyhledávání: '"Abdelaal A"'
Publikováno v:
RUDN Journal of Economics, Vol 32, Iss 1, Pp 187-198 (2024)
In the conditions of globalization and development of information technologies, the competition of enterprises on national and international scales is significantly aggravated, which determines the importance of ensuring competitive advantages for an
Externí odkaz:
https://doaj.org/article/eff1fe5b6f0a4161829e7d98e4070078
Autor:
Abu Serhan H, AlSamhori JF, Siddiq A, Hassan AR, Irshaidat S, Abu Serhan L, Alawadhi A, Abdelaal A, Al-Thawabieh W
Publikováno v:
Clinical Ophthalmology, Vol Volume 17, Pp 2309-2322 (2023)
Hashem Abu Serhan,1 Jehad Feras AlSamhori,2 Abdelmonem Siddiq,3 Abdul Rhman Hassan,4 Sara Irshaidat,5 Leen Abu Serhan,6 Abdullah Alawadhi,7 Abdelaziz Abdelaal,8 Wejdan Al-Thawabieh9 1Department of Ophthalmology, Hamad Medical Corporations, Doha, Qata
Externí odkaz:
https://doaj.org/article/fa9e7ec69f634420be780eefc8e16448
Publikováno v:
Clinical Ophthalmology, Vol Volume 16, Pp 2631-2637 (2022)
Omar Alshehri,1 Ahmed M Abdelaal,2 Ghufran Abudawood,1 Muhammad A Khan,3 Saud Alsharif,4 Hassan Hijazi,1 AlBaraa AlQassimi1 1Ophthalmology Department, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia; 2Ophthalmology Department, Prince Sultan Mi
Externí odkaz:
https://doaj.org/article/612a6f2f97c6426498779abe4c3fc9f9
Autor:
Abdelaal, Mohamed
In this paper, we explore the transformative impact of Artificial Intelligence (AI) in the manufacturing sector, highlighting its potential to revolutionize industry practices and enhance operational efficiency. We delve into various applications of
Externí odkaz:
http://arxiv.org/abs/2407.05426
Machine learning's influence is expanding rapidly, now integral to decision-making processes from corporate strategy to the advancements in Industry 4.0. The efficacy of Artificial Intelligence broadly hinges on the caliber of data used during its tr
Externí odkaz:
http://arxiv.org/abs/2404.18681
Data drifts pose a critical challenge in the lifecycle of machine learning (ML) models, affecting their performance and reliability. In response to this challenge, we present a microbenchmark study, called D3Bench, which evaluates the efficacy of ope
Externí odkaz:
http://arxiv.org/abs/2404.18673
Publikováno v:
Indian Heart Journal, Vol 70, Iss 6, Pp 836-842 (2018)
Background: Percutaneous balloon mitral valvuloplasty (PBMV) can be complicated with significant mitral regurgitation (MR). We performed a pilot, prospective study to evaluate the role of three dimensional transesophageal echocardiography (3D-TEE) in
Externí odkaz:
https://doaj.org/article/f82b0586d98343fda302b21fd8d5f05c
Autor:
Nguyen, Truong Thanh Hung, Clement, Tobias, Nguyen, Phuc Truong Loc, Kemmerzell, Nils, Truong, Van Binh, Nguyen, Vo Thanh Khang, Abdelaal, Mohamed, Cao, Hung
LangXAI is a framework that integrates Explainable Artificial Intelligence (XAI) with advanced vision models to generate textual explanations for visual recognition tasks. Despite XAI advancements, an understanding gap persists for end-users with lim
Externí odkaz:
http://arxiv.org/abs/2402.12525
Autor:
Clement, Tobias, Nguyen, Hung Truong Thanh, Kemmerzell, Nils, Abdelaal, Mohamed, Stjelja, Davor
This paper presents an approach integrating explainable artificial intelligence (XAI) techniques with adaptive learning to enhance energy consumption prediction models, with a focus on handling data distribution shifts. Leveraging SHAP clustering, ou
Externí odkaz:
http://arxiv.org/abs/2402.04982
Surgical robotics is a rising field in medical technology and advanced robotics. Robot assisted surgery, or robotic surgery, allows surgeons to perform complicated surgical tasks with more precision, automation, and flexibility than is possible for t
Externí odkaz:
http://arxiv.org/abs/2311.00313