Zobrazeno 1 - 10
of 3 031
pro vyhledávání: '"A. Kabore"'
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:
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:
Francois Kiemde, Juvenal Nkeramahame, Ana Belen Ibarz, Sabine Dittrich, Piero Olliaro, Daniel Valia, Toussaint Rouamba, Berenger Kabore, Alima Nadine Kone, Seydou Sawadogo, Antonia Windkouni Bere, Diane Yirgnur Some, Athanase Mwinessobaonfou Some, Adelaide Compaore, Philip Horgan, Stephan Weber, Thomas Keller, Halidou Tinto
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Objective To assess the impact of an intervention package on the prescription of antibiotic and subsequently the rate of clinical recovery for non-severe acute febrile illnesses at primary health centers. Methods Patients over 6 months of ag
Externí odkaz:
https://doaj.org/article/fae8b97b9649479e9227ad8d10d94f25
Autor:
Ange Oho Roseline Badjo, Nongodo Firmin Kabore, Arsène Zongo, Kobo Gnada, Aminata Ouattara, Merci Muhigwa, Soumeya Ouangraoua, Armel Poda, Satouro Arsène Some, Grit Schubert, Tim Eckmanns, Fabian H. Leendertz, Essia Belarbi, Abdoul-Salam Ouedraogo
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Campylobacter spp. is a significant etiological agent of bacterial gastroenteritis globally. In Burkina Faso (BFA), the actual impact of this pathogen on gastroenteritis is considerably underestimated, primarily due to inadequate
Externí odkaz:
https://doaj.org/article/916462971b514a0ea962f72024bc00d3
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