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pro vyhledávání: '"Kabore A"'
In this paper, we present a novel approach to interference detection in 5G New Radio (5G-NR) networks using Convolutional Neural Networks (CNN). Interference in 5G networks challenges high-quality service due to dense user equipment deployment and in
Externí odkaz:
http://arxiv.org/abs/2408.11659
With the involvement of multiple programming languages in modern software development, cross-lingual code clone detection has gained traction with the software engineering community. Numerous studies have explored this topic, proposing various promis
Externí odkaz:
http://arxiv.org/abs/2408.04430
Autor:
Ouédraogo, Wendkûuni C., Kaboré, Kader, Tian, Haoye, Song, Yewei, Koyuncu, Anil, Klein, Jacques, Lo, David, Bissyandé, Tegawendé F.
Unit testing, crucial for identifying bugs in code modules like classes and methods, is often neglected by developers due to time constraints. Automated test generation techniques have emerged to address this, but often lack readability and require d
Externí odkaz:
http://arxiv.org/abs/2407.00225
Autor:
Ouédraogo, Wendkûuni C., Plein, Laura, Kaboré, Kader, Habib, Andrew, Klein, Jacques, Lo, David, Bissyandé, Tegawendé F.
The quality of a software is highly dependent on the quality of the tests it is submitted to. Writing tests for bug detection is thus essential. However, it is time-consuming when done manually. Automating test cases generation has therefore been an
Externí odkaz:
http://arxiv.org/abs/2312.14898
This research introduces a sophisticated transfer learning model based on Google's MobileNetV2 for breast cancer tumor classification into normal, benign, and malignant categories, utilizing a dataset of 1576 ultrasound images (265 normal, 891 benign
Externí odkaz:
http://arxiv.org/abs/2312.03020
Autor:
Abdou Tenkouano, Niéyidouba Lamien, Josephine Agogbua, Delphine Amah, Rony Swennen, Siaka Traoré, Deless Thiemele, Ngoran Aby, Kouman Kobenan, Goly Gnonhouri, Ndrin Yao, G. Astin, Séraphine Sawadogo-Kabore, Vianney Tarpaga, Wonni Issa, Bernadin Lokossou, Adolphe Adjanohoun, Gilles Léandre Amadji, Solange Adangnitode, Kabore Alice Djinadou Igue, Rodomiro Ortiz
Publikováno v:
International Journal of Agronomy, Vol 2019 (2019)
The devastating threat of black leaf streak disease caused by Pseudocercospora fijiensis on plantain production in West Africa spurred the development of resistant hybrids. The goal of this research and development (R&D) undertaken was assessing the
Externí odkaz:
https://doaj.org/article/e1d945460c8c4fde84465951947d1589
Autor:
Tang, Xunzhu, Tian, Haoye, Chen, Zhenghan, Pian, Weiguo, Ezzini, Saad, Kabore, Abdoul Kader, Habib, Andrew, Klein, Jacques, Bissyande, Tegawende F.
Patch representation is crucial in automating various software engineering tasks, like determining patch accuracy or summarizing code changes. While recent research has employed deep learning for patch representation, focusing on token sequences or A
Externí odkaz:
http://arxiv.org/abs/2308.16586
Autor:
Zabré Geneviève, Kabore Adama, Bayala Balé, Corrêa Spoto Patricia, Lemos Nascimento Leando, Niderkorn Vincent, Tamboura Hamadou Hamidou, Hoste Hervé, Louvandini Helder, Abdalla Luiz Adibe
Publikováno v:
Tropical and Subtropical Agroecosystems, Vol 21, Iss 2 (2018)
Acacia nilotica var adansonii (Guill. et Perr.) O. Ktze and Acacia raddiana (Savi) species are local ressources important to feed animals in Sahelian area of Burkina Faso. Thus, this experiment was to investigate the in vitro effect of both Acacias o
Externí odkaz:
https://doaj.org/article/44eb29191a8e44cc80691e21fe35d288
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:
Samhi, Jordan, Kober, Maria, Kabore, Abdoul Kader, Arzt, Steven, Bissyandé, Tegawendé F., Klein, Jacques
Apps on mobile phones manipulate all sorts of data, including sensitive data, leading to privacy-related concerns. Recent regulations like the European GDPR provide rules for the processing of personal and sensitive data, like that no such data may b
Externí odkaz:
http://arxiv.org/abs/2301.03207