Zobrazeno 1 - 10
of 2 262
pro vyhledávání: '"Kengne, P."'
Autor:
Alquier, Pierre, Kengne, William
In a groundbreaking work, Schmidt-Hieber (2020) proved the minimax optimality of deep neural networks with ReLu activation for least-square regression estimation over a large class of functions defined by composition. In this paper, we extend these r
Externí odkaz:
http://arxiv.org/abs/2410.21702
Autor:
Kengne, William, Wade, Modou
The explicit regularization and optimality of deep neural networks estimators from independent data have made considerable progress recently. The study of such properties on dependent data is still a challenge. In this paper, we carry out deep learni
Externí odkaz:
http://arxiv.org/abs/2406.08321
Autor:
Kengne, William, Wade, Modou
Recent developments on deep learning established some theoretical properties of deep neural networks estimators. However, most of the existing works on this topic are restricted to bounded loss functions or (sub)-Gaussian or bounded input. This paper
Externí odkaz:
http://arxiv.org/abs/2405.05081
Autor:
Mahamat Baharadine Djibrine, Ngum Lesley Ngum, Boda Maurice, Jean Paul Kengne Chedjou, Palmer Masumbe Netongo
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 13, Iss 10, Pp 4263-4269 (2024)
Introduction Dengue is one of the most serious and rapidly spreading major mosquito borne diseases in the world. Despite many acute febrile illnesses in Tchad, the burden of illness due to dengue in the country is largely unknown. Hence, the present
Externí odkaz:
https://doaj.org/article/6f23e14be020434aa0a64027a0e694ce
Autor:
Nasheeta Peer, Kim Anh Nguyen, Emmanuel Peprah, Huichun Xu, Tandi E. Matsha, Novel N. Chegou, Andre-Pascal Kengne
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study examined the associations between tobacco smoking and serum cotinine levels, an objective biochemical measure of tobacco smoke exposure, with markers of inflammation, i.e., interferon-gamma (IFN-γ), interleukin 10 (IL-10), interl
Externí odkaz:
https://doaj.org/article/a980fdc79a30490294384012f293adbd
Autor:
Assegid Hellebo, Andre Pascal Kengne, Amarech Obse, Naomi Levitt, Bronwyn Myers, Susan Cleary, Olufunke Alaba
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Objective Diabetes is an incapacitating condition affecting millions of people in South Africa. Maintaining optimal glycaemic control is crucial in preventing diabetes complications, highlighting the importance of diabetes self-care. This st
Externí odkaz:
https://doaj.org/article/5b69bb4511694b8c8bc11f1fba70ca58
Autor:
Nicola Royce, Héléne T Cronjé, André P Kengne, Herculina S Kruger, Robin C Dolman-Macleod, Marlien Pieters
Publikováno v:
BMC Endocrine Disorders, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background The use of non-invasive risk scores to detect undiagnosed type 2 diabetes (T2D) ensures the restriction of invasive and costly blood tests to those most likely to be diagnosed with the disease. This study assessed and compared the
Externí odkaz:
https://doaj.org/article/721ef1210081490d8ca45855a3f4beb2
Autor:
Cecil J Weale, Chanelle Schroeder, Don M Matshazi, Saarah FG Davids, Rajiv T Erasmus, Andre P Kengne, Glenda M Davison, Tandi E Matsha
Publikováno v:
Journal of Diabetes Investigation, Vol 15, Iss 10, Pp 1377-1389 (2024)
Abstract Aims This study aims to investigate miR‐486‐5p and miR‐novel‐chr1_40444 expressions in dysglycemic individuals. Validating RNA‐sequencing findings in a larger sample via reverse transcription qPCR (RT‐qPCR), we aim to address glo
Externí odkaz:
https://doaj.org/article/8f0a9dad6ef54bf5a056d5a747673762
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Aim To assess the clinical utility of novel anthropometric indices and other traditional anthropometric indices in identifying the risk of type 2 diabetes mellitus (T2D) among South African adult females. Methods In the first South African N
Externí odkaz:
https://doaj.org/article/4fbd8eb5083f43c58a48b1dfd3fb4b1d
Autor:
Jacques Ndé Kengne, Calvin Tadmon
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 3, Pp 775-804 (2024)
This paper studies an Ebola epidemic model with an exponential nonlinear incidence function that considers the efficacy and the behaviour change. The current model also incorporates a new density-dependent treatment that catches the impact of the dis
Externí odkaz:
https://doaj.org/article/620232d5663c48b5adf8d30009d58a52