Zobrazeno 1 - 10
of 15 091
pro vyhledávání: '"Kehinde, A."'
Autor:
Ishmam, Shitab, Heinrichs, Heidi, Winkler, Christoph, Bayat, Bagher, Lahnaoui, Amin, Agbo, Solomon, Sanchez, Edgar Ubaldo Pena, Franzmann, David, Ojieabu, Nathan, Koerner, Celine, Micheal, Youpele, Oloruntoba, Bamidele, Montzka, Carsten, Vereecken, Harry, Hendricks-Franssen, Harrie-Jan, Brendt, Jeerawan, Brauner, Simon, Kuckshinrichs, Wilhelm, Venghaus, Sandra, Kone, Daouda, Korgo, Bruno, Ogunjobi, Kehinde, Chiteculo, Vasco, Olwoch, Jane, Getenga, Zachary, Linßen, Jochen, Stolten, Detlef
For fast-tracking climate change response, green hydrogen is key for achieving greenhouse gas neutral energy systems. Especially Sub-Saharan Africa can benefit from it enabling an increased access to clean energy through utilizing its beneficial cond
Externí odkaz:
http://arxiv.org/abs/2407.07573
Quantifying uncertainties for machine learning models is a critical step to reduce human verification effort by detecting predictions with low confidence. This paper proposes a method for uncertainty quantification (UQ) of table structure recognition
Externí odkaz:
http://arxiv.org/abs/2407.01731
We consider the domain wall in the (2+1)-dimensional $\phi^4$ double well model, created by extending the $\phi^4$ kink in an additional infinite direction. Classically, the tension is $m^3/3\lambda$ where $\lambda$ is the coupling and $m$ is the mes
Externí odkaz:
http://arxiv.org/abs/2403.14062
Autor:
Evslin, Jarah, Ogundipe, Kehinde
Recently we have introduced a lightweight, perturbative approach to quantum solitons. Thus far, our approach has been largely limited to configurations consisting of a single soliton plus a finite number of mesons, whose classical limit is an isolate
Externí odkaz:
http://arxiv.org/abs/2403.13232
Autor:
Ofori-Anyinam, B., Riley, A.J., Jobarteh, T., Gitteh, E., Sarr, B., Faal-Jawara, T.I., Rigouts, L., Senghore, M., Kehinde, A., Onyejepu, N., Antonio, M., de Jong, B.C., Gehre, F., Meehan, Conor J.
Yes
The geographically restricted Mycobacterium africanum lineages (MAF) are primarily found in West Africa, where they account for a significant proportion of tuberculosis. Despite this phenomenon, little is known about the co-evolution of thes
The geographically restricted Mycobacterium africanum lineages (MAF) are primarily found in West Africa, where they account for a significant proportion of tuberculosis. Despite this phenomenon, little is known about the co-evolution of thes
Externí odkaz:
http://hdl.handle.net/10454/17611
Autor:
Kehinde, Opadele, Abdul, Ruth, Afolabi, Bose, Vir, Parminder, Namblard, Corinne, Mukhopadhyay, Ayan, Adereni, Abiodun
More than 5 million children under five years die from largely preventable or treatable medical conditions every year, with an overwhelmingly large proportion of deaths occurring in underdeveloped countries with low vaccination uptake. One of the Uni
Externí odkaz:
http://arxiv.org/abs/2402.00017
The integration of artificial intelligence tools such as ChatGPT in the education system has gained attention in recent years. This experience report explores students' perceptions and suggestions for integrating ChatGPT in a computer science course.
Externí odkaz:
http://arxiv.org/abs/2402.01640
Autor:
Mofolorunsho, Kehinde C., Mabaso, Nonkululeko, Nundlall, Nikita, Nightingale, Apiwe, Nyirenda, Makandwe, Abbai, Nathlee
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Apr 01. 28(4), 90-110.
Externí odkaz:
https://www.jstor.org/stable/27313881
Undergraduates’ experiences with library portal services: perceptions of usefulness and satisfaction
Autor:
Ajisebutu, Adenike Elizabeth, Adetayo, Adebowale Jeremy, Alawiye, Mariam Kehinde, Makinde, Bosede Olufunmilayo
Publikováno v:
Digital Library Perspectives, 2024, Vol. 40, Issue 4, pp. 518-536.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DLP-05-2024-0070
Autor:
Ajayi, Kehinde, Wei, Xin, Gryder, Martin, Shields, Winston, Wu, Jian, Jones, Shawn M., Kucer, Michal, Oyen, Diane
Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still limited by the sheer volume, versatility, and diversity of the availab
Externí odkaz:
http://arxiv.org/abs/2311.04098