Zobrazeno 1 - 10
of 210
pro vyhledávání: '"khalil issa"'
Publikováno v:
Cybernetics and Information Technologies, Vol 23, Iss 1, Pp 75-93 (2023)
Clock synchronization in the Mac layer plays a vital role in wireless sensor network communication that maintains time-based channel sharing and offers a uniform timeframe among different network nodes. Most wireless sensor networks are distributed w
Externí odkaz:
https://doaj.org/article/a104ffdee70b4f61947f2243e42d3762
Autor:
Fahad Abdulaziz, Khalil Issa, Mohammed Alyami, Satam Alotibi, Abdulaziz A. Alanazi, Taha Abdel Mohaymen Taha, Asma M. E. Saad, Gehan A. Hammouda, Nagat Hamad, Mazen Alshaaer
Publikováno v:
Biomimetics, Vol 8, Iss 7, p 547 (2023)
This study aimed to explore the effects of the full-scale replacement (up to 100%) of Ca2+ ions with Ag1+ ions in the structure of brushite (CaHPO4·2H2O). This substitution has potential benefits for producing monophasic and biphasic Ca1−xAgxHPO4
Externí odkaz:
https://doaj.org/article/738d494adc9b4f2db87e6ba350e218e7
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:
Khan, Naseem, Ahmad, Kashif, Tamimi, Aref Al, Alani, Mohammed M., Bermak, Amine, Khalil, Issa
Industry 5.0, which focuses on human and Artificial Intelligence (AI) collaboration for performing different tasks in manufacturing, involves a higher number of robots, Internet of Things (IoTs) devices and interconnections, Augmented/Virtual Reality
Externí odkaz:
http://arxiv.org/abs/2408.03335
Autor:
Allison D. Oliva, Rupali Gupta, Khalil Issa, Ralph Abi Hachem, David W. Jang, Sebastian A. Wellford, E. Ashley Moseman, Hiroaki Matsunami, Bradley J. Goldstein
Publikováno v:
The Journal of Clinical Investigation, Vol 132, Iss 4 (2022)
BACKGROUND Presbyosmia, or aging-related olfactory loss, occurs in a majority of humans over age 65 years, yet remains poorly understood, with no specific treatment options. The olfactory epithelium (OE) is the peripheral organ for olfaction and is s
Externí odkaz:
https://doaj.org/article/9fc77df8ac2d46c995f09fc41f27f03d
Autor:
Mazen Alshaaer, Khalil Issa, Ahmed S. Afify, Moustapha E. Moustapha, Abdulaziz A. Alanazi, Ammar Elsanousi, Talal F. Qahtan
Publikováno v:
Crystals, Vol 12, Iss 7, p 940 (2022)
Because the impact of the full-scale substitution of Ca2+ in brushite (CaHPO4·2H2O) with Ni2+ ions has never been systematically explored, it is the focus of this investigation, as it holds potential for use in CaxNi1−xHPO4·nH2O production. These
Externí odkaz:
https://doaj.org/article/191bb5160cf344a6956acb53ed9fe475
Autor:
Mazen Alshaaer, Essam Abdel-Fattah, Iyad Saadeddin, Feras Al Battah, Khalil Issa, Ghassan Saffarini
Publikováno v:
Materials Research Express, Vol 7, Iss 6, p 065405 (2020)
Porous biphasic bioceramics that contain hydroxyapatite and tricalcium phosphate were synthesized in this study using luffa cylindrical fibres (LCF) as the template. In addition to improving the pore structure, using this template led to a chemical c
Externí odkaz:
https://doaj.org/article/4c2c44573096413caaa5da75a2f5cd7c
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
This paper introduces FairDP, a novel mechanism designed to achieve certified fairness with differential privacy (DP). FairDP independently trains models for distinct individual groups, using group-specific clipping terms to assess and bound the disp
Externí odkaz:
http://arxiv.org/abs/2305.16474