Zobrazeno 1 - 10
of 1 703
pro vyhledávání: '"Niyongabo A"'
Autor:
Li, Kangming, Rubungo, Andre Niyongabo, Lei, Xiangyun, Persaud, Daniel, Choudhary, Kamal, DeCost, Brian, Dieng, Adji Bousso, Hattrick-Simpers, Jason
Scientific machine learning (ML) endeavors to develop generalizable models with broad applicability. However, the assessment of generalizability is often based on heuristics. Here, we demonstrate in the materials science setting that heuristics based
Externí odkaz:
http://arxiv.org/abs/2406.06489
The prediction of crystal properties plays a crucial role in the crystal design process. Current methods for predicting crystal properties focus on modeling crystal structures using graph neural networks (GNNs). Although GNNs are powerful, accurately
Externí odkaz:
http://arxiv.org/abs/2310.14029
Autor:
Aloys Iyamuremye, Francois Niyongabo Niyonzima, Janvier Mukiza, Innocent Twagilimana, Pascasie Nyirahabimana, Theophile Nsengimana, Jean Dieu Habiyaremye, Olivier Habimana, Ezechiel Nsabayezu
Publikováno v:
Discover Education, Vol 3, Iss 1, Pp 1-15 (2024)
Abstract The current study aimed to criticize the existing literature on the utilization of artificial intelligence (AI) and machine learning (ML) in teaching and learning chemistry. A comprehensive critical literature review was conducted using elec
Externí odkaz:
https://doaj.org/article/7bc7df1e742d4440af28415506122bfe
Autor:
Ogundepo, Odunayo, Gwadabe, Tajuddeen R., Rivera, Clara E., Clark, Jonathan H., Ruder, Sebastian, Adelani, David Ifeoluwa, Dossou, Bonaventure F. P., DIOP, Abdou Aziz, Sikasote, Claytone, Hacheme, Gilles, Buzaaba, Happy, Ezeani, Ignatius, Mabuya, Rooweither, Osei, Salomey, Emezue, Chris, Kahira, Albert Njoroge, Muhammad, Shamsuddeen H., Oladipo, Akintunde, Owodunni, Abraham Toluwase, Tonja, Atnafu Lambebo, Shode, Iyanuoluwa, Asai, Akari, Ajayi, Tunde Oluwaseyi, Siro, Clemencia, Arthur, Steven, Adeyemi, Mofetoluwa, Ahia, Orevaoghene, Aremu, Anuoluwapo, Awosan, Oyinkansola, Chukwuneke, Chiamaka, Opoku, Bernard, Ayodele, Awokoya, Otiende, Verrah, Mwase, Christine, Sinkala, Boyd, Rubungo, Andre Niyongabo, Ajisafe, Daniel A., Onwuegbuzia, Emeka Felix, Mbow, Habib, Niyomutabazi, Emile, Mukonde, Eunice, Lawan, Falalu Ibrahim, Ahmad, Ibrahim Said, Alabi, Jesujoba O., Namukombo, Martin, Chinedu, Mbonu, Phiri, Mofya, Putini, Neo, Mngoma, Ndumiso, Amuok, Priscilla A., Iro, Ruqayya Nasir, Adhiambo, Sonia
African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users. Cross-lingual open-retrieval question answering (XOR QA) systems -- those that re
Externí odkaz:
http://arxiv.org/abs/2305.06897
Autor:
Annabelle Niyongabo, Virginie Villes, Rokhaya Diagne, Juliana Castro Avila, Jean-Michel Mutima, Dévote Gakima, Pélagie Nimbona, Evangéline Niyoncuti, Elvis Rwamuco, Martin Manirakiza, Lucas Riegel, Nicolas Lorente, Rosemary M. Delabre, Daniela Rojas Castro
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract With a national prevalence of 0.9%, Burundi is close to achieving UNAIDS’ 2025 targets. Despite this, different types of crises periodically disrupt its HIV health services. The community-based program EPIC measured the impact of the COVID
Externí odkaz:
https://doaj.org/article/61073d22b15141e1a4e842958798555a
Autor:
Qin Zhou, Yun Wang, Liang Yue, Ailing Ye, Xiaofan Xie, Meilan Zhang, Yuan Tian, Yang Liu, Andéole Niyongabo Turatsinze, Uwaremwe Constantine, Xia Zhao, Yubao Zhang, Ruoyu Wang
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Astragalus mongholicus is a medicinal plant that is known to decrease in quality in response to continuous cropping. However, the differences in the root-associated microbiome and root exudates in the rhizosphere soil that may lead to these
Externí odkaz:
https://doaj.org/article/4c851d1e83a744d9bda945b275a7ef11
Autor:
Niyongabo, Annabelle1,2 (AUTHOR) aniyongabo@coalitionplus.org, Villes, Virginie3 (AUTHOR), Diagne, Rokhaya1 (AUTHOR), Castro Avila, Juliana3 (AUTHOR), Mutima, Jean-Michel2 (AUTHOR), Gakima, Dévote2 (AUTHOR), Nimbona, Pélagie2 (AUTHOR), Niyoncuti, Evangéline2 (AUTHOR), Rwamuco, Elvis2 (AUTHOR), Manirakiza, Martin4 (AUTHOR), Riegel, Lucas3 (AUTHOR), Lorente, Nicolas3,5,6 (AUTHOR) nlorente@coalitionplus.org, Delabre, Rosemary M.3 (AUTHOR), Rojas Castro, Daniela3,7 (AUTHOR)
Publikováno v:
Scientific Reports. 6/8/2024, Vol. 14 Issue 1, p1-12. 12p.
Autor:
Marion Di Ciaccio PhD, Othmane Bourhaba PhD, Cécile Khoury MS, Ayman Assi MD, Sara Abu Zaki MS, Nicolas Lorente PhD, Juliana Castro Avila MS, Annabelle Niyongabo MD, Dévote Gakima MD, Aminata Diouh MS, Lucas Riegel MS, Amal Ben Moussa PhD, Gabriel Girard PhD, Mehdi Karkouri MD, Rosemary M. Delabre PhD, Daniela Rojas Castro PhD
Publikováno v:
Journal of the International Association of Providers of AIDS Care, Vol 23 (2024)
Little is known about the adaption of community-based organizations (CBOs) during the COVID-19 crisis. This study aimed to study how HIV CBOs and their community health workers (CHWs) faced the COVID-19 outbreak. Semi-structured interviews (n = 53) w
Externí odkaz:
https://doaj.org/article/bf3a721b4edc48ee8910c58e5593b5aa
Autor:
Adelani, David Ifeoluwa, Alabi, Jesujoba Oluwadara, Fan, Angela, Kreutzer, Julia, Shen, Xiaoyu, Reid, Machel, Ruiter, Dana, Klakow, Dietrich, Nabende, Peter, Chang, Ernie, Gwadabe, Tajuddeen, Sackey, Freshia, Dossou, Bonaventure F. P., Emezue, Chris Chinenye, Leong, Colin, Beukman, Michael, Muhammad, Shamsuddeen Hassan, Jarso, Guyo Dub, Yousuf, Oreen, Rubungo, Andre Niyongabo, Hacheme, Gilles, Wairagala, Eric Peter, Nasir, Muhammad Umair, Ajibade, Benjamin Ayoade, Ajayi, Tunde Oluwaseyi, Gitau, Yvonne Wambui, Abbott, Jade, Ahmed, Mohamed, Ochieng, Millicent, Aremu, Anuoluwapo, Ogayo, Perez, Mukiibi, Jonathan, Kabore, Fatoumata Ouoba, Kalipe, Godson Koffi, Mbaye, Derguene, Tapo, Allahsera Auguste, Koagne, Victoire Memdjokam, Munkoh-Buabeng, Edwin, Wagner, Valencia, Abdulmumin, Idris, Awokoya, Ayodele, Buzaaba, Happy, Sibanda, Blessing, Bukula, Andiswa, Manthalu, Sam
Recent advances in the pre-training of language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these datasets. This is primarily because many widely spoken languages are not
Externí odkaz:
http://arxiv.org/abs/2205.02022
Publikováno v:
Data in Brief, Vol 56, Iss , Pp 110803- (2024)
In recent years, teaching and learning organic chemistry have been troubled by limited engagement, and active participation among learners. As a result, there has been a growing need to develop innovative teaching methods that can address these educa
Externí odkaz:
https://doaj.org/article/e698ef0f46fe45999b0bf33c3415aa84