Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Mansour Alsulaiman"'
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:
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:
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:
Mohammed Algabri, Hassan Mathkour, Mohamed Abdelkader Bencherif, Mansour Alsulaiman, Mohamed Amine Mekhtiche
Publikováno v:
IEEE Access, Vol 8, Pp 54663-54680 (2020)
The use of cutting edge object detection techniques to build an accurate phoneme sequence recognition system for English and Arabic languages is investigated in this study. Recently, numerous techniques have been proposed for object detection in dail
Externí odkaz:
https://doaj.org/article/084fd3f2dccf498e8c1e2cade2f5fec1
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
Publikováno v:
IEEE Access, Vol 8, Pp 167985-167997 (2020)
Date is the main fruit crop of the Kingdom of Saudi Arabia (KSA), approximately covering 72% of the total area under permanent crops. The Food and Agriculture Organization states that date production worldwide was 3,430,883 tons in 1990, which increa
Externí odkaz:
https://doaj.org/article/f69dd0c780fa4aa68c8a5e03f5400055
Publikováno v:
Mathematics, Vol 10, Iss 15, p 2727 (2022)
A high-performance versatile computer-assisted pronunciation training (CAPT) system that provides the learner immediate feedback as to whether their pronunciation is correct is very helpful in learning correct pronunciation and allows learners to pra
Externí odkaz:
https://doaj.org/article/1a9e8be1767144ebad203c4dbf761637
Publikováno v:
IEEE Access, Vol 7, Pp 18940-18950 (2019)
Deep learning methods, such as convolution neural networks (CNNs), have achieved remarkable success in computer vision tasks. Hence, an increasing trend in using deep learning for electroencephalograph (EEG) analysis is evident. Extracting relevant i
Externí odkaz:
https://doaj.org/article/2437a5716a354d2ea9e4f0bd7bc08129
Publikováno v:
IEEE Access, Vol 7, Pp 117115-117133 (2019)
An accurate vision system to classify and analyze fruits in real time is critical for harvesting robots to be cost-effective and efficient. However, practical success in this area is still limited, and to the best of our knowledge, there is no resear
Externí odkaz:
https://doaj.org/article/0d92b7abbf2a4a1e900afe17297a7372