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pro vyhledávání: '"Nazzal A"'
The capability of generating high-quality source code using large language models (LLMs) reduces software development time and costs. However, they often introduce security vulnerabilities due to training on insecure open-source data. This highlights
Externí odkaz:
http://arxiv.org/abs/2409.12699
Autor:
Ton, Khiem, Nguyen, Nhi, Nazzal, Mahmoud, Khreishah, Abdallah, Borcea, Cristian, Phan, NhatHai, Jin, Ruoming, Khalil, Issa, Shen, Yelong
This paper introduces SGCode, a flexible prompt-optimizing system to generate secure code with large language models (LLMs). SGCode integrates recent prompt-optimization approaches with LLMs in a unified system accessible through front-end and back-e
Externí odkaz:
http://arxiv.org/abs/2409.07368
Autor:
Consuela Cheriece Yousef, Teresa M Salgado, Ali Farooq, Keisha Burnett, Laura E McClelland, Abin Thomas, Ahmed O Alenazi, Laila Carolina Abu Esba, Aeshah AlAzmi, Abrar Fahad Alhameed, Ahmed Hattan, Sumaya Elgadi, Saleh Almekhloof, Mohammed A AlShammary, Nazzal Abdullah Alanezi, Hani Solaiman Alhamdan, Sahal Khoshhal, Jonathan P DeShazo
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 8, p e30214 (2021)
BackgroundWith the rise in the use of information and communication technologies in health care, patients have been encouraged to use eHealth tools such as personal health records (PHRs) for better health and well-being services. PHRs support patient
Externí odkaz:
https://doaj.org/article/fa967f4301fc4bd7a280d6b8bf27ccbe
Autor:
Vungarala, Deepak, Nazzal, Mahmoud, Morsali, Mehrdad, Zhang, Chao, Ghosh, Arnob, Khreishah, Abdallah, Angizi, Shaahin
In the ever-evolving landscape of Deep Neural Networks (DNN) hardware acceleration, unlocking the true potential of systolic array accelerators has long been hindered by the daunting challenges of expertise and time investment. Large Language Models
Externí odkaz:
http://arxiv.org/abs/2404.10875
Autor:
Ma, Yichen, Nazzal, Dima
The COVID-19 pandemic has significantly exacerbated existing educational disparities in Georgia's K-12 system, particularly in terms of racial and ethnic achievement gaps. Utilizing machine learning methods, the study conducts a comprehensive analysi
Externí odkaz:
http://arxiv.org/abs/2402.01710
Publikováno v:
BMC Medical Ethics, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background and aim Promoting ethical medical practices and preserving human rights principles require an understanding of patient rights. Studies show varying awareness levels among patients regarding their rights. This study aims to assess
Externí odkaz:
https://doaj.org/article/59d7502c70374a89974905287bd200df
Autor:
Abdullah Janem, Dawod Jawabreh, Yaqoot Anabseh, Mohammed Jawabreh, Zaher Nazzal, Adham Abu Taha, Mohammad Qadi
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract The study explores the presence of extended-spectrum β-lactamase-producing Gram-negative bacteria (ESBL-GNB) and carbapenem-resistant Gram-negative bacteria (CR-GNB) in the stool of hemodialysis patients, reflecting a significant concern am
Externí odkaz:
https://doaj.org/article/c0d982b4fc334a7d89aa7858ff962ef1
Autor:
Nazzal, Mahmoud, Aljaafari, Nura, Sawalmeh, Ahmed, Khreishah, Abdallah, Anan, Muhammad, Algosaibi, Abdulelah, Alnaeem, Mohammed, Aldalbahi, Adel, Alhumam, Abdulaziz, Vizcarra, Conrado P., Alhamed, Shadan
Federated learning enables multiple clients to collaboratively contribute to the learning of a global model orchestrated by a central server. This learning scheme promotes clients' data privacy and requires reduced communication overheads. In an appl
Externí odkaz:
http://arxiv.org/abs/2310.06855
Malicious domain detection (MDD) is an open security challenge that aims to detect if an Internet domain is associated with cyber-attacks. Among many approaches to this problem, graph neural networks (GNNs) are deemed highly effective. GNN-based MDD
Externí odkaz:
http://arxiv.org/abs/2308.11754
Publikováno v:
Nucl.Phys.B 996 (2023) 116364
We derive ground state eigenfunctions and eigenvalues of various relativistic elliptic integrable models. The models we discuss appear in computations of superconformal indices of four-dimensional theories obtained by compactifying six-dimensional mo
Externí odkaz:
http://arxiv.org/abs/2305.09718