Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Mohsen A. Rashwan"'
Publikováno v:
IEEE Access, Vol 9, Pp 51242-51257 (2021)
This paper presents a new computational backend model that supports Arabic document information retrieval (ADIR) as a dataset and OCR services. Therefore, different services that support document analysis, retrieving, processing including dataset pre
Externí odkaz:
https://doaj.org/article/9e39fb8df3934dbdb23eaf755942bdec
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-28
The problem of Region of Interest (RoI) in document layout analysis and document recognition has recently become an essential topic in OCRing systems. Arabic manuscript layout analysis and OCRing recognition using language detection, document categor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::350e8cc34b61d9e33f4a342e7b315204
https://doi.org/10.1145/3532609
https://doi.org/10.1145/3532609
Autor:
Walid El-Shafai, Marwa A. Elsayed, Mohsen A. Rashwan, Moawad I. Dessouky, Adel S. El-Fishawy, Naglaa F. Soliman, Amel A. Alhussan, Fathi E. Abd El-Samie
Publikováno v:
Computer Systems Science and Engineering. 45:563-578
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::593b1bd9d3e8adbba74ac62d00547e46
https://doi.org/10.32604/csse.2023.024375
https://doi.org/10.32604/csse.2023.024375
Autor:
Marwa A. Elsayed, Walid El-Shafai, Mohsen A. Rashwan, Moawad I. Dessouky, Adel S. El-Fishawy, Fathi E. Abd El-Samie
Publikováno v:
Journal of Optics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ee27d8f54761f114291f49e8bce10fc
https://doi.org/10.1007/s12596-023-01179-w
https://doi.org/10.1007/s12596-023-01179-w
Publikováno v:
International Journal of Computer Applications. 183:31-40
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41e005caa5f5e93323db784dacdc4837
https://doi.org/10.5120/ijca2021921152
https://doi.org/10.5120/ijca2021921152
Publikováno v:
International Journal of Computer Science and Mobile Computing. 10:91-100
This paper provides a literature survey about Automatic Speech Recognition (ASR) systems for learning Arabic language and Al-Quran Recitation. The growth in communication technologies and AI (specially Machine learning and Deep learning) led research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23fd3d604b499b2c9fe1641afb5fa1b2
https://doi.org/10.47760/ijcsmc.2021.v10i07.013
https://doi.org/10.47760/ijcsmc.2021.v10i07.013
Autor:
Khaled M. F. Elsayed, Sherif M. Abdou, Maruf Hasan, Mohsen A. Rashwan, Majed A. Alshamari, Shaheen Khatoon, Amna Asif
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-28 (2021)
Social media postings are increasingly being used in modern days disaster management. Along with the textual information, the contexts and cues inherent in the images posted on social media play an important role in identifying appropriate emergency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8dce6b63161a1c5fab15e21756d63d6
https://doaj.org/article/61e442eb6f0346db9944458926886531
https://doaj.org/article/61e442eb6f0346db9944458926886531
Autor:
Mohsen A. Rashwan, Hossam Elshahaby
Publikováno v:
Multimedia Tools and Applications. 80:25607-25631
Extraction of news text captions aims at a digital understanding of what is happening in a specific region during a certain period that helps in better communication between different nations because we can easily translate the plain text from one la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b117ee0915710691e308cbd07f0d3448
https://doi.org/10.1007/s11042-021-10856-6
https://doi.org/10.1007/s11042-021-10856-6
Autor:
Mohsen A. Rashwan, Hossam Elshahaby
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:1853-1865
A new technique for text detection inside a complex graphical background, its extraction, and enhancement to be easily recognized using the optical character recognition (OCR). The technique uses a deep neural network for feature extraction and class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9327ff25385369f4b8a814cb5ae6bcaa
https://doi.org/10.1007/s12652-021-02951-1
https://doi.org/10.1007/s12652-021-02951-1
Autor:
Mohammed Faisal, Mohammed Algabri, Yousef Al-Ohali, Sherif M. Abdou, Mohamed Amine Mekhtiche, Wadood Abdul, Ghulam Muhammad, Mansour Al Sulaiman, Mohsen A. Rashwan, Abdullah M. Moussa, Hebah ElGibreen
Publikováno v:
IEEE Access, Vol 9, Pp 88405-88428 (2021)
Due to the rapid developments in technology and the sudden expansion of social media use, Dialect Arabic has become an important source of data that needs to be addressed when building Arabic corpora. In this paper, thirty-three Arabic corpora are su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58a6c7a0a398bd982bdae031a47dcd46
https://ieeexplore.ieee.org/document/9458313/
https://ieeexplore.ieee.org/document/9458313/