Zobrazeno 1 - 10
of 475
pro vyhledávání: '"Nunes, Amaral"'
Publikováno v:
APL Machine Learning, Vol 2, Iss 3, Pp 036102-036102-11 (2024)
The extraordinary success of convolutional neural networks (CNNs) in various computer vision tasks has revitalized the field of artificial intelligence. The out-sized expectations created by this extraordinary success have, however, been tempered by
Externí odkaz:
https://doaj.org/article/e72dab3ddcf64468bff00bac0f45b457
Autor:
Monah Sampaio Santos, Larissa Souza Santos-Lins, Sávio Vinicius Burity Amorim Nunes Amaral, Carlos Brites, Liliane Lins-Kusterer
Publikováno v:
Brazilian Journal of Infectious Diseases, Vol 28, Iss 3, Pp 103769- (2024)
Untreated HIV infection leads to severe immunodeficiency and can be associated with an accelerated aging process and a higher prevalence of frailty. Systemic changes are known to cause greater oral manifestations and decreased orofacial function. How
Externí odkaz:
https://doaj.org/article/1ce3125c95b3436f9f19ccf3a3cce423
Autor:
Luiz Eliel Pinheiro da Silva, Sander Rodrigues Moreira, Nathalia de Andrade Neves, Etiene Valéria de Aguiar, Vanessa Dias Capriles, Tatiana Nunes Amaral, Marcio Schmiele
Publikováno v:
Foods, Vol 13, Iss 17, p 2683 (2024)
Dehydrated integral forage palm cladode flour (FPF) presents a promising nutritional and functional approach to enriching fettuccine-type pasta. This study investigated the use of microwave-dehydrated FPF (at 810 W) as a partial wheat flour substitut
Externí odkaz:
https://doaj.org/article/66a0cb09d6324f1d93f2cf437ddc2acd
Publikováno v:
eLife, Vol 12 (2024)
Present-day publications on human genes primarily feature genes that already appeared in many publications prior to completion of the Human Genome Project in 2003. These patterns persist despite the subsequent adoption of high-throughput technologies
Externí odkaz:
https://doaj.org/article/2b1a627d7fcc4b4fa17e45db4f5e7d59
Autor:
Christopher Donohue, Kris Wetterstrand, Kristi Holmes, Luis A. Nunes Amaral, Mohammad Hosseini, Spencer Hong, Thomas Stoeger
Publikováno v:
Journal of eScience Librarianship, Vol 13, Iss 1 (2024)
Understanding “how to optimize the production of scientific knowledge” is paramount to those who support scientific research—funders as well as research institutions—to the communities served, and to researchers. Structured archives can help
Externí odkaz:
https://doaj.org/article/f4a78590a4454ad1972ad830fab6a99b
Publikováno v:
APL Machine Learning, Vol 1, Iss 4, Pp 046118-046118-10 (2023)
Machine learning approaches have become critical tools in data mining and knowledge discovery, especially when attempting to uncover relationships in high-dimensional data. However, researchers have noticed that a large fraction of features in high-d
Externí odkaz:
https://doaj.org/article/46de7007ca4e4133a547b5f336315b06
Autor:
Meagan A Bechel, Fabiana Madotto, Adam R Pah, Giacomo Bellani, John G Laffey, Tài Pham, Luís A Nunes Amaral, Curtis H Weiss
Publikováno v:
PLOS Digital Health, Vol 2, Iss 8, p e0000325 (2023)
Under-recognition of acute respiratory distress syndrome (ARDS) by clinicians is an important barrier to adoption of evidence-based practices such as low tidal volume ventilation. The burden created by the COVID-19 pandemic makes it even more critica
Externí odkaz:
https://doaj.org/article/8017e59f1c1e41e9bd2ce7fd38a5bd85
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Transportation networks undergo permanent changes influenced by a variety of human-induced and natural factors. The authors propose here a machine learning framework for prediction of connections removal that could be useful in building scenarios for
Externí odkaz:
https://doaj.org/article/63b0cb481ad7462397afb4a6ba251043
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Adoption of innovations in the field of medicine is frequently hindered by a failure to recognize the condition targeted by the innovation. This is particularly true in cases where recognition requires integration of patient infor
Externí odkaz:
https://doaj.org/article/119f642bda3942d28cccb3b4ef045990
Publikováno v:
APL Machine Learning; Sep2024, Vol. 2 Issue 3, p1-11, 11p