Zobrazeno 1 - 10
of 3 361
pro vyhledávání: '"A, Elbadawi"'
Autor:
Zhi, Zhuo, Liu, Ziquan, Elbadawi, Moe, Daneshmend, Adam, Orlu, Mine, Basit, Abdul, Demosthenous, Andreas, Rodrigues, Miguel
Multimodal machine learning with missing modalities is an increasingly relevant challenge arising in various applications such as healthcare. This paper extends the current research into missing modalities to the low-data regime, i.e., a downstream t
Externí odkaz:
http://arxiv.org/abs/2403.09428
Autor:
Zhi, Zhuo, Elbadawi, Moe, Daneshmend, Adam, Orlu, Mine, Basit, Abdul, Demosthenous, Andreas, Rodrigues, Miguel
Anemia is a prevalent medical condition that typically requires invasive blood tests for diagnosis and monitoring. Electronic health records (EHRs) have emerged as valuable data sources for numerous medical studies. EHR-based hemoglobin level/anemia
Externí odkaz:
http://arxiv.org/abs/2401.12002
Publikováno v:
International Journal of Sustainable Engineering, Vol 17, Iss 1, Pp 1-16 (2024)
The Maximum Power Point Tracking (MPPT) technique in the solar energy field optimises the performance of solar panels in different atmospheric conditions and variable loads. In this study, we present a new method that uses unsupervised learning (K-me
Externí odkaz:
https://doaj.org/article/f9073688323047e198bd2d9f5c5cb0df
Autor:
Sayda TagElsir Elbadawi Omer, Osama Murtada Ahmed, Shadad M. Mahmoud, Abdelsamie Abdalla Mohamed, Talal Mohammed Geregandi, Elbadwai Hassan-Mohamed HabibAlla, Mohammed Yousof Bakhiet
Publikováno v:
JPRAS Open, Vol 41, Iss , Pp 326-335 (2024)
Background: Cleft lip and palate are the most common congenital craniofacial anomalies. They account for approximately 13% of all congenital anomalies. Objectives: To study the presentation of cleft lip and the early results of surgical repair among
Externí odkaz:
https://doaj.org/article/a6ff2179ba7b4134ba0c7a00bbad0862
Autor:
Hossein Moayedi, Azfarizal Mukhtar, Serhan Alshammari, Mohamed Boujelbene, Isam Elbadawi, Quynh T Thi, Mojtaba Mirzaei
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
One of the most significant issues in urban design is energy-related CO2 emissions, which are rising quickly as cities expand. The GDP of the Central European countries (from 1990 to 2016) based on several energy sources, such as coal, oil, natural g
Externí odkaz:
https://doaj.org/article/ddc45eb3b67847ae8a6ddd6f081ebf89
Autor:
Hossein Moayedi, Azfarizal Mukhtar, Nidhal Ben Khedher, Isam Elbadawi, Mouldi Ben Amara, Quynh TT, Nima Khalilpoor
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
Energy-related CO2 emissions are one of the biggest concerns facing urban design today, increasing rapidly as cities grow. This study uses as inputs the GDP of the G8 nations (from 1990 to 2016) depending on the utilization of various energy sources,
Externí odkaz:
https://doaj.org/article/784b59f87f664b2193f13b2e7e1b26b3
Autor:
Ayman Elbadawi, Mohamed Hamed, Mohamed Gad, Sheref A. Elseidy, Mohamed Barghout, Hani Jneid, Mamas A. Mamas, Fernando Alfonso, Islam Y. Elgendy
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 21 (2024)
Background The comparative outcomes with immediate, staged in‐hospital, and staged out‐of‐hospital complete revascularization for patients with ST‐segment–elevation myocardial infarction and multivessel disease remain unclear. Methods and R
Externí odkaz:
https://doaj.org/article/ea0a5aaac5ae40e9b7d30ccfbdafa01b
Autor:
Ayman Elbadawi, Amr Mohamed, Ramy Sedhom, Lisardo Garcia, Ambarish Pandey, Saket Girotra, Anthony Bavry, Sreekanth Vemulapalli, Dharam J. Kumbhani
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 19 (2024)
Background There is a paucity of data regarding the relationship between overall hospital volumes for total aortic valve replacement (AVR; transcatheter AVR [TAVR] or surgical AVR [SAVR]) and patient outcomes. Methods and Results We queried the 2019
Externí odkaz:
https://doaj.org/article/01039b9d91474c92b5014bb72022b28c
Autor:
Sufian A. Badawi, Maen Takruri, Mahmood G. Al‐Bashayreh, Khouloud Salameh, Jumana Humam, Samar Assaf, Mohammad R. Aziz, Ameera Albadawi, Djamel Guessoum, Isam ElBadawi, Mohammad Al‐Hattab
Publikováno v:
IET Smart Cities, Vol 6, Iss 2, Pp 96-111 (2024)
Abstract Numerous strategies have been proposed for the detection and prevention of non‐technical electricity losses due to fraudulent activities. Among these, machine learning algorithms and data‐driven techniques have gained prominence over tra
Externí odkaz:
https://doaj.org/article/345725e758af4d4c863069df151a2931
Autor:
Mohamed Hamed, Sheref Mohamed, Mohamed Mahmoud, Jonathan Kahan, Amr Mohsen, Faisal Rahman, Waleed Kayani, Fernando Alfonso, Emmanuel S. Brilakis, Islam Y. Elgendy, Mamas A. Mamas, Ayman Elbadawi
Publikováno v:
Cardiology and Therapy, Vol 13, Iss 2, Pp 379-399 (2024)
Abstract Introduction Trials evaluating the role of intravascular imaging in percutaneous coronary intervention (PCI) for complex coronary artery disease have yielded mixed results. This study aimed to compare the outcomes of intravascular imaging sp
Externí odkaz:
https://doaj.org/article/c973c686e51a4288ab07d395a95dff7d