Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Mohammed S. Alshehri"'
Publikováno v:
IEEE Access, Vol 12, Pp 85929-85939 (2024)
Brain tumors pose a significant threat, especially when not detected early. The Inception v3 machine learning model has found extensive applications in computer vision and related fields. This study aims to develop a robust transfer learning model fo
Externí odkaz:
https://doaj.org/article/4f1eb6d3136a4a498138754cf892ef4c
Autor:
Mimonah Al Qathrady, Muhammad Saeed, Rashid Amin, Mohammed S. Alshehri, Asma Alshehri, Samar M. Alqhtani
Publikováno v:
IEEE Access, Vol 12, Pp 49449-49463 (2024)
A growing kind of communication, the Internet of Things (IoT), links all network-capable devices worldwide. The most recent phase of the Internet of Things (IoT), known as the Internet of Medical Things (IoMT), is one that is rapidly catching researc
Externí odkaz:
https://doaj.org/article/b30e73dd9a1d4015a226e47aa5f76d3b
Autor:
Abdulwahab Alazeb, Mouazma Batool, Naif Al Mudawi, Mohammed S. Alshehri, Sultan Almakdi, Nouf Abdullah Almujally, Asaad Algarni
Publikováno v:
IEEE Access, Vol 12, Pp 48686-48698 (2024)
Parkinson’s disease affects bodily functions and there is a growing need for advanced solutions to offer therapeutic advice to patients. A framework using artificial intelligence and machine learning techniques has been proposed to address this. Th
Externí odkaz:
https://doaj.org/article/3e18776de920460eb6a55652133f0f8b
Autor:
Mohammed S. Alshehri, Oumaima Saidani, Fatma S. Alrayes, Saadullah Farooq Abbasi, Jawad Ahmad
Publikováno v:
IEEE Access, Vol 12, Pp 45762-45772 (2024)
The Industrial Internet of Things (IIoT) comprises a variety of systems, smart devices, and an extensive range of communication protocols. Hence, these systems face susceptibility to privacy and security challenges, making them prime targets for mali
Externí odkaz:
https://doaj.org/article/2158b8a2506c437f8da91f0090e4944e
Autor:
Mimonah Al Qathrady, Ahmad Shaf, Tariq Ali, Umar Farooq, Aqib Rehman, Samar M. Alqhtani, Mohammed S. Alshehri, Sultan Almakdi, Muhammad Irfan, Saifur Rahman, Ladon Ahmed Bade Eljak
Publikováno v:
IEEE Access, Vol 12, Pp 41542-41556 (2024)
Cervical cancer, the second most prevalent cancer among women worldwide, is primarily attributed to the human papillomavirus (HPV). Despite advances in healthcare, it remains a significant cause of mortality among women across diverse regions, surpas
Externí odkaz:
https://doaj.org/article/bc5cc69ea28146509acaf4d53a68811e
Autor:
Mohammed S. Alshehri, Jawad Ahmad, Sultan Almakdi, Mimonah Al Qathrady, Yazeed Yasin Ghadi, William J. Buchanan
Publikováno v:
IEEE Access, Vol 12, Pp 35521-35538 (2024)
The rise of Internet of Things (IoT) has led to increased security risks, particularly from botnet attacks that exploit IoT device vulnerabilities. This situation necessitates effective Intrusion Detection Systems (IDS), that are accurate, lightweigh
Externí odkaz:
https://doaj.org/article/3e7c5236cbcf432bbe36cd3f1f2b01e7
Publikováno v:
Engineering Reports, Vol 6, Iss 3, Pp n/a-n/a (2024)
Abstract Wireless body area networks (WBAN) provide remote services for patient monitoring which allows healthcare practitioners to diagnose, monitor, and prescribe them without their physical presence. To address the shortcomings of WBAN, software
Externí odkaz:
https://doaj.org/article/737d9f5f2a9c441399c16631f3445e49
Autor:
Noor Wali Khan, Mohammed S. Alshehri, Muazzam A Khan, Sultan Almakdi, Naghmeh Moradpoor, Abdulwahab Alazeb, Safi Ullah, Naila Naz, Jawad Ahmad
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 13491-13520 (2023)
The Internet of Things (IoT) is a rapidly evolving technology with a wide range of potential applications, but the security of IoT networks remains a major concern. The existing system needs improvement in detecting intrusions in IoT networks. Severa
Externí odkaz:
https://doaj.org/article/221e1cccfa98442f914d7cc26a37c920
Autor:
Muhammad Hassan Jamal, Muazzam A Khan, Safi Ullah, Mohammed S. Alshehri, Sultan Almakdi, Umer Rashid, Abdulwahab Alazeb, Jawad Ahmad
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 13824-13848 (2023)
In recent years, the industrial network has seen a number of high-impact attacks. To counter these threats, several security systems have been implemented to detect attacks on industrial networks. However, these systems solely address issues once the
Externí odkaz:
https://doaj.org/article/0ee92e2af37b459baaca66ff2854122b
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23572- (2024)
In this era of advanced information technology, the exploration and development of novel mechanisms to ensure information confidentiality have consistently captivated the attention of upcoming researchers. In this article, we present a pioneering app
Externí odkaz:
https://doaj.org/article/ad1ae0a9e8824d81822044b598143fdb