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pro vyhledávání: '"KRUGER A"'
We show that the existing generalized separation statements including the conventional extremal principle and its extensions differ {in the ways norms on product spaces are defined}. We prove a general separation statement with arbitrary product norm
Externí odkaz:
http://arxiv.org/abs/2412.05336
Autor:
Howell, John C., Flores, Brian, Naranjo, Juan Javier, Mendez, Angel, Costa-Vera, Cesar, Koumriqian, Chris, Jordan, Juliana, Neethling, Pieter H., Groenewald, Calvin, Lovemore, Michael A. C., Kinsey, Patrick A. T., Kruger, Tjaart P. J.
We report on an educational pilot program for low-cost physics experimentation run in Ecuador, South Africa, and the United States. The program was developed after having needs-based discussions with African educators, researchers, and leaders. It wa
Externí odkaz:
http://arxiv.org/abs/2412.04679
Autor:
O'Neill, Jacki, Marivate, Vukosi, Glover, Barbara, Karanu, Winnie, Tadesse, Girmaw Abebe, Gyekye, Akua, Makena, Anne, Rosslyn-Smith, Wesley, Grollnek, Matthew, Wayua, Charity, Baguma, Rehema, Maduke, Angel, Spencer, Sarah, Kandie, Daniel, Maari, Dennis Ndege, Mutangana, Natasha, Axmed, Maxamed, Kamau, Nyambura, Adamu, Muhammad, Swaniker, Frank, Gatuguti, Brian, Donner, Jonathan, Graham, Mark, Mumo, Janet, Mbindyo, Caroline, N'Guessan, Charlette, Githinji, Irene, Makhafola, Lesego, Kruger, Sean, Etyang, Olivia, Onando, Mulang, Sevilla, Joe, Sambuli, Nanjira, Mbaya, Martin, Breloff, Paul, Anapey, Gideon M., Mogaleemang, Tebogo L., Nghonyama, Tiyani, Wanyoike, Muthoni, Mbuli, Bhekani, Nderu, Lawrence, Nyabero, Wambui, Alam, Uzma, Olaleye, Kayode, Njenga, Caroline, Sellen, Abigail, Kairo, David, Chabikwa, Rutendo, Abdulhamid, Najeeb G., Kubasu, Ketry, Okolo, Chinasa T., Akpo, Eugenia, Budu, Joel, Karambal, Issa, Berkoh, Joseph, Wasswa, William, Njagwi, Muchai, Burnet, Rob, Ochanda, Loise, de Bod, Hanlie, Ankrah, Elizabeth, Kinyunyu, Selemani, Kariuki, Mutembei, Kiyimba, Kizito, Eleshin, Farida, Madeje, Lillian Secelela, Muraga, Catherine, Nganga, Ida, Gichoya, Judy, Maina, Tabbz, Maina, Samuel, Mercy, Muchai, Ochieng, Millicent, Nyairo, Stephanie
This white paper is the output of a multidisciplinary workshop in Nairobi (Nov 2023). Led by a cross-organisational team including Microsoft Research, NEPAD, Lelapa AI, and University of Oxford. The workshop brought together diverse thought-leaders f
Externí odkaz:
http://arxiv.org/abs/2411.10091
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 14, Pp 1807-1818 (2021)
Kelly Wilson-Stewart,1,2 Davide Fontanarosa,3,4 Eva Malacova,3,5 Steven Gett,2 Allan Kruger,2,6 Jamie V Trapp1 1School of Chemistry and Physics, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia; 2Cardiiovascular
Externí odkaz:
https://doaj.org/article/095f611d348a4297aa91cc047146d649
Autor:
Beeri, Gal, Chamot, Benoit, Latchem, Elena, Venkatesh, Shruthi, Whalan, Sarah, Kruger, Van Zyl, Martino, David
This exploratory pilot study investigated the potential of combining a domain-specific model, BERN2, with large language models (LLMs) to enhance automated disease phenotyping from research survey data. Motivated by the need for efficient and accurat
Externí odkaz:
http://arxiv.org/abs/2410.20695
In the paper, we extend the widely used in optimization theory decoupling techniques to infinite collections of functions. Extended concepts of uniform lower semicontinuity and firm uniform lower semicontinuity as well as the new concepts of weak uni
Externí odkaz:
http://arxiv.org/abs/2409.00573
Autor:
Foutter, Matthew, Bhoj, Praneet, Sinha, Rohan, Elhafsi, Amine, Banerjee, Somrita, Agia, Christopher, Kruger, Justin, Guffanti, Tommaso, Gammelli, Daniele, D'Amico, Simone, Pavone, Marco
Foundation models, e.g., large language models, possess attributes of intelligence which offer promise to endow a robot with the contextual understanding necessary to navigate complex, unstructured tasks in the wild. In the future of space robotics,
Externí odkaz:
http://arxiv.org/abs/2408.05924
Autor:
Ankolekar, Anshu, Boie, Sebastian, Abdollahyan, Maryam, Gadaleta, Emanuela, Hasheminasab, Seyed Alireza, Yang, Guang, Beauville, Charles, Dikaios, Nikolaos, Kastis, George Anthony, Bussmann, Michael, Khalid, Sara, Kruger, Hagen, Lambin, Philippe, Papanastasiou, Giorgos
Federated Learning (FL) has emerged as a promising solution to address the limitations of centralised machine learning (ML) in oncology, particularly in overcoming privacy concerns and harnessing the power of diverse, multi-center data. This systemat
Externí odkaz:
http://arxiv.org/abs/2408.05249
Publikováno v:
Clinical Ophthalmology, Vol Volume 14, Pp 2481-2483 (2020)
Avishai D Kruger, 1 Karen Hendler, 2 Joshua M Kruger 2 1Independent Researcher, Modiin, Israel; 2Division of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem 91120, IsraelCorrespondence: Joshua M Kruger Email kruger@hadassah.org.il
Externí odkaz:
https://doaj.org/article/5892910278d241dfa3d3ab98f84e237a
The paper explores a new extremality model involving collections of arbitrary families of sets. We demonstrate its applicability to set-valued optimization problems with general preferences, weakening the assumptions of the known results and streamli
Externí odkaz:
http://arxiv.org/abs/2407.20473