Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Muneer Al-hammadi"'
Autor:
Mohammed Faisal, Mansour Alsulaiman, Mohamed Mekhtiche, Bencherif Mohamed Abdelkader, Mohammed Algabri, Tariq Bin Saleh Alrayes, Ghulam Muhammad, Hassan Mathkour, Wadood Abdul, Yousef Alohali, Muneer Al-Hammadi, Hamdi Altaheri, Taha Alfakih
Publikováno v:
IEEE Access, Vol 11, Pp 135423-135434 (2023)
Disabled people are facing many difficulties communicating with others and involving in society. Modern societies have dedicated significant efforts to promote the integration of disabled individuals into their societies and services. Currently, smar
Externí odkaz:
https://doaj.org/article/cd5dab34cfab4cbbb770d5a1a7297cbe
Autor:
Mansour Alsulaiman, Mohammed Faisal, Mohamed Mekhtiche, Mohamed Bencherif, Tariq Alrayes, Ghulam Muhammad, Hassan Mathkour, Wadood Abdul, Yousef Alohali, Mansour Alqahtani, Habib Al-Habib, Hassan Alhalafi, Mohammed Algabri, Muneer Al-hammadi, Hamdi Altaheri, Taha Alfakih
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101642- (2023)
Recently, several countries have been trying hard to facilitate the integration of disabled people into their societies by ensuring equal opportunities through ease of access to social services, daily human necessities, and the labor market. Deafness
Externí odkaz:
https://doaj.org/article/894b32a084d541b08016120f241ad296
Autor:
Mohamed A. Bencherif, Mohammed Algabri, Mohamed A. Mekhtiche, Mohammed Faisal, Mansour Alsulaiman, Hassan Mathkour, Muneer Al-Hammadi, Hamid Ghaleb
Publikováno v:
IEEE Access, Vol 9, Pp 59612-59627 (2021)
This paper presents a novel Arabic Sign Language (ArSL) recognition system, using selected 2D hands and body key points from successive video frames. The system recognizes the recorded video signs, for both signer dependent and signer independent mod
Externí odkaz:
https://doaj.org/article/26eb12bf4cf14a6f8c57d83a6fadf4d9
Autor:
Muneer Al-Hammadi, Ghulam Muhammad, Wadood Abdul, Mansour Alsulaiman, Mohamed A. Bencherif, Mohamed Amine Mekhtiche
Publikováno v:
IEEE Access, Vol 8, Pp 79491-79509 (2020)
Recently, automatic hand gesture recognition has gained increasing importance for two principal reasons: the growth of the deaf and hearing-impaired population, and the development of vision-based applications and touchless control on ubiquitous devi
Externí odkaz:
https://doaj.org/article/521b65a163ab41b39c3919ec60b8b316
Autor:
Muneer Al-Hammadi, Ghulam Muhammad, Wadood Abdul, Mansour Alsulaiman, Mohammed A. Bencherif, Tareq S. Alrayes, Hassan Mathkour, Mohamed Amine Mekhtiche
Publikováno v:
IEEE Access, Vol 8, Pp 192527-192542 (2020)
Hand gesture recognition is an attractive research field with a wide range of applications, including video games and telesurgery techniques. Another important application of hand gesture recognition is the translation of sign language, which is a co
Externí odkaz:
https://doaj.org/article/12597d4476d64a92a8497294fecd90ac
Autor:
Mubarak Alrashoud, Etessam Hazza, Fayez Alqahtani, Muneer Al-Hammadi, Abdolreza Abhari, Ahmed Ghoneim
Publikováno v:
IEEE Access, Vol 7, Pp 102966-102974 (2019)
The next release planning is considered as a cognitive decision-making problem where many stakeholders provide their judgments and opinions about the set of features that shall be included in the next release of the software. In multi-tenant Software
Externí odkaz:
https://doaj.org/article/e1c38940753c448fbbc2118aceb2aa7b
Autor:
Muneer Al-Hammadi, Mohamed A. Bencherif, Mansour Alsulaiman, Ghulam Muhammad, Mohamed Amine Mekhtiche, Wadood Abdul, Yousef A. Alohali, Tareq S. Alrayes, Hassan Mathkour, Mohammed Faisal, Mohammed Algabri, Hamdi Altaheri, Taha Alfakih, Hamid Ghaleb
Publikováno v:
Sensors, Vol 22, Iss 12, p 4558 (2022)
Sign language is the main channel for hearing-impaired people to communicate with others. It is a visual language that conveys highly structured components of manual and non-manual parameters such that it needs a lot of effort to master by hearing pe
Externí odkaz:
https://doaj.org/article/f63cdec63eec4a768fe477c1db67a087
Autor:
Mohammed Faisal, Mansour Alsulaiman, Mohamed A. Bencherif, Mohammed Algabri, Muneer Al-Hammadi, Hamid Ghaleb, Hassan Mathkour, Mohamed Amine Mekhtiche
Publikováno v:
IEEE Access, Vol 9, Pp 59612-59627 (2021)
This paper presents a novel Arabic Sign Language (ArSL) recognition system, using selected 2D hands and body key points from successive video frames. The system recognizes the recorded video signs, for both signer dependent and signer independent mod
Autor:
Long Hu, Yingying Jiang, Yongfeng Qian, Muneer Al-Hammadi, M. Shamim Hossain, Mubarak Alrashoud
Publikováno v:
IEEE Network. 34:46-51
The Cognitive Internet of Vehicles (CIoV) introduces a cognitive engine in the traditional Internet of Vehicles, which can realize more intelligent functions such as vehicle deployment and resource allocation. Especially in terms of content caching,
Publikováno v:
IEEE Consumer Electronics Magazine. 9:95-101
Automatic hand gesture recognition is the most important part of sign language translation. Its importance increases with the growth of deaf and hard of hearing population and cognitive computing. In this article, we propose an efficient system for a