Zobrazeno 1 - 10
of 528
pro vyhledávání: '"Onyenwe, IF"'
Autor:
Onyenwe, Ikechukwu E., Onyedinma, Ebele, Ikechukwu-Onyenwe, Onyedika O., Agbata, Obinna, Tubo, Faustinah N.
LaTeX is a free document preparation system that handles the typesetting of mathematical expressions smoothly and elegantly. It has become the standard format for creating and publishing research articles in mathematics and many scientific fields. Co
Externí odkaz:
http://arxiv.org/abs/2402.01660
Publikováno v:
International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE) Vol. 12, Issue 9, September 2023
In recent years, advancements in Natural Language Processing (NLP) techniques have revolutionized the field of accessibility and exclusivity of testing, particularly for visually impaired students (VIS). CBT has shown in years back its relevance in t
Externí odkaz:
http://arxiv.org/abs/2401.12375
Publikováno v:
International Journal of Real-Time Application and Computing Systems (IJORTACS) Volume 1, Issue XI, November 2022, pp. 294-306
This paper presents the development of an intelligent system for the detection of coronavirus using artificial neural network. This was done after series of literature review which indicated that high fever accounts for 87.9% of the COVID-19 symptoms
Externí odkaz:
http://arxiv.org/abs/2309.13636
Autor:
Dione, Cheikh M. Bamba, Adelani, David, Nabende, Peter, Alabi, Jesujoba, Sindane, Thapelo, Buzaaba, Happy, Muhammad, Shamsuddeen Hassan, Emezue, Chris Chinenye, Ogayo, Perez, Aremu, Anuoluwapo, Gitau, Catherine, Mbaye, Derguene, Mukiibi, Jonathan, Sibanda, Blessing, Dossou, Bonaventure F. P., Bukula, Andiswa, Mabuya, Rooweither, Tapo, Allahsera Auguste, Munkoh-Buabeng, Edwin, Koagne, victoire Memdjokam, Kabore, Fatoumata Ouoba, Taylor, Amelia, Kalipe, Godson, Macucwa, Tebogo, Marivate, Vukosi, Gwadabe, Tajuddeen, Elvis, Mboning Tchiaze, Onyenwe, Ikechukwu, Atindogbe, Gratien, Adelani, Tolulope, Akinade, Idris, Samuel, Olanrewaju, Nahimana, Marien, Musabeyezu, Théogène, Niyomutabazi, Emile, Chimhenga, Ester, Gotosa, Kudzai, Mizha, Patrick, Agbolo, Apelete, Traore, Seydou, Uchechukwu, Chinedu, Yusuf, Aliyu, Abdullahi, Muhammad, Klakow, Dietrich
In this paper, we present MasakhaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages. We discuss the challenges in annotating POS for these languages using the UD (universal dependencies) guidelines. We conduc
Externí odkaz:
http://arxiv.org/abs/2305.13989
Autor:
Onyenwe, Ikechukwu, Ogbonna, Stanley, Onyedimma, Ebele, Ikechukwu-Onyenwe, Onyedikachukwu, Nwafor, Chidinma
Due to the increasing storage data on Web Applications, it becomes very difficult to use only keyword-based searches to provide comprehensive search results, thus increasing the difficulty for web users to search information on the web. In this paper
Externí odkaz:
http://arxiv.org/abs/2110.04767
Developing an automatic part-of-speech (POS) tagging for any new language is considered a necessary step for further computational linguistics methodology beyond tagging, like chunking and parsing, to be fully applied to the language. Many POS disamb
Externí odkaz:
http://arxiv.org/abs/2110.04977
Publikováno v:
International Journal on Natural Language Computing 2021
Websites are regarded as domains of limitless information which anyone and everyone can access. The new trend of technology put us to change the way we are doing our business. The Internet now is fastly becoming a new place for business and the advan
Externí odkaz:
http://arxiv.org/abs/2109.00656
Publikováno v:
Clinical Epidemiology and Global Health, Vol 26, Iss , Pp 101569- (2024)
Background: Buruli ulcer (BU) is a necrotizing and debilitating cutaneous disease caused by Mycobacterium ulcerans. It is considered the third most common mycobacterial infection after tuberculosis and leprosy. Buruli ulcer is known to be endemic in
Externí odkaz:
https://doaj.org/article/8dff984b40ed4245976d5c6103e2ab54
Publikováno v:
In Clinical Epidemiology and Global Health March-April 2024 26
Publikováno v:
International Journal of Trend in Research and Development, Volume 6(5), ISSN: 2394-9333, 2019
Recently, there are unprecedented data growth originating from different online platforms which contribute to big data in terms of volume, velocity, variety and veracity (4Vs). Given this nature of big data which is unstructured, performing analytics
Externí odkaz:
http://arxiv.org/abs/2103.16624