Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Meshari Alazmi"'
Autor:
Meshari Alazmi
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionIn the intricate realm of enzymology, the precise quantification of enzyme efficiency, epitomized by the turnover number (kcat), is a paramount yet elusive objective. Existing methodologies, though sophisticated, often grapple with the in
Externí odkaz:
https://doaj.org/article/aa97da630442470595faa8e6598fd1b2
Autor:
Sharif Hala, Mohammed Malaikah, Jiayi Huang, Wesam Bahitham, Omniya Fallatah, Samer Zakri, Chakkiath Paul Antony, Mohammed Alshehri, Raeece Naeem Ghazzali, Fathia Ben-Rached, Abdullah Alsahafi, Asim Alsaedi, Ghadeer AlAhmadi, Mai Kaaki, Meshari Alazmi, Baraa AlhajHussein, Muhammad Yaseen, Hosam M. Zowawi, Majed F. Alghoribi, Abdulhakeem O. Althaqafi, Abdulfattah Al-Amri, Danesh Moradigaravand, Arnab Pain
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-19 (2024)
Abstract Background Klebsiella pneumoniae is a major bacterial and opportunistic human pathogen, increasingly recognized as a healthcare burden globally. The convergence of resistance and virulence in K. pneumoniae strains has led to the formation of
Externí odkaz:
https://doaj.org/article/b638fefd8e134f239eb18db1dfbf9fec
Autor:
Ahmed Alsolami, Amina I. Dirar, Emadeldin Hassan E. Konozy, Makarim El-Fadil M. Osman, Mohanad A. Ibrahim, Khalid Farhan Alshammari, Fawwaz Alshammari, Meshari Alazmi, Kamaleldin B. Said
Publikováno v:
Current Issues in Molecular Biology, Vol 45, Iss 7, Pp 5879-5901 (2023)
Multidisciplinary research efforts on potential COVID-19 vaccine and therapeutic candidates have increased since the pandemic outbreak of SARS-CoV-2 in 2019. This search has become imperative due to the increasing emergences and limited widely availa
Externí odkaz:
https://doaj.org/article/be6da15be3d44a57810b89d1c37cfda4
Autor:
Badiea Abdulkarem Mohammed, Mahmood A. Al-Shareeda, Selvakumar Manickam, Zeyad Ghaleb Al-Mekhlafi, Abdulrahman Alreshidi, Meshari Alazmi, Jalawi Sulaiman Alshudukhi, Mohammad Alsaffar
Publikováno v:
IEEE Access, Vol 11, Pp 18571-18581 (2023)
The fifth-generation (5G) technology-enabled vehicular network has been widely used in intelligent transportation in recent years. Since messages shared among vehicles are always broadcasted by openness environment’ nature, which is vulnerable to s
Externí odkaz:
https://doaj.org/article/8c85376a125a4c2ca934d6d195cd6b5e
Publikováno v:
Systems, Vol 11, Iss 9, p 482 (2023)
Free Space Optical Communication (FSO) is a promising technology to address wired Data Center Network (DCN) challenges like power consumption, low scalability and flexibility, congestion and cabling. Scholars have developed indirect line-of-sight (Lo
Externí odkaz:
https://doaj.org/article/2a51cc07d64e4914a8f03f96fcffe5a7
Autor:
Kamaleldin B. Said, Ahmed Alsolami, Fawaz Alshammari, Khalid Farhan Alshammari, Meshari Alazmi, Tulika Bhardwaj, Mohammad Zeeshan Najm, Rajeev Singh, Mohd Adnan Kausar
Publikováno v:
Informatics in Medicine Unlocked, Vol 38, Iss , Pp 101221- (2023)
The lethal pathogenic severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection has caused the COVID-19 pandemic, posing serious risks to people. The clove-like spike (S) protein that distinguishes coronaviruses from other viruses is imp
Externí odkaz:
https://doaj.org/article/a0dc3ba2c08443138374c605d08bb9e7
Publikováno v:
Mathematics, Vol 11, Iss 17, p 3706 (2023)
The generalized penalized constrained regression (G-PCR) is a penalized model for high-dimensional linear inverse problems with structured features. This paper presents a sharp error performance analysis of the G-PCR in the over-parameterized high-di
Externí odkaz:
https://doaj.org/article/32ec86198b4447e3bcd7551c1d5b524d
Autor:
Zeyad Ghaleb Al-Mekhlafi, Mahmood A. Al-Shareeda, Selvakumar Manickam, Badiea Abdulkarem Mohammed, Abdulrahman Alreshidi, Meshari Alazmi, Jalawi Sulaiman Alshudukhi, Mohammad Alsaffar, Taha H. Rassem
Publikováno v:
Sensors, Vol 23, Iss 7, p 3543 (2023)
Several researchers have proposed secure authentication techniques for addressing privacy and security concerns in the fifth-generation (5G)-enabled vehicle networks. To verify vehicles, however, these conditional privacy-preserving authentication (C
Externí odkaz:
https://doaj.org/article/94209d8b592c414da20979544107583a
Autor:
Hassan Ali, Muhammad Suleman Khan, Amer Alghadhban, Meshari Alazmi, Ahmad Alzamil, Khaled Al-Utaibi, Junaid Qadir
Publikováno v:
IEEE Access, Vol 9, Pp 81678-81692 (2021)
With the hyperconnectivity and ubiquity of the Internet, the fake news problem now presents a greater threat than ever before. One promising solution for countering this threat is to leverage deep learning (DL)-based text classification methods for f
Externí odkaz:
https://doaj.org/article/4b05e66a03f749f598f6c00a58e6da06
Autor:
Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Zeyad Ghaleb Al-Mekhlafi, Meshari Alazmi, Abdulaziz M. Alayba, Adwan Alownie Alanazi, Abdulrahman Alreshidi, Mona Alshahrani
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8836 (2022)
Cervical cancer is a global health problem that threatens the lives of women. Liquid-based cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting from vitreous slides to whole-slide images (WSIs) allows images to
Externí odkaz:
https://doaj.org/article/12c87f8d01974783a31a68278ec1d5d7