Zobrazeno 1 - 10
of 518
pro vyhledávání: '"WILSON SILVA"'
Autor:
Amanda Maria Silva Alencar, Vicente Ribeiro Rocha Júnior, Flávio Pinto Monção, Matheus Wilson Silva Cordeiro, Alexandre Soares dos Santos, Luciana Albuquerque Caldeira, Larissa Inácio Soares de Oliveira, João Vitor Araújo Ananias, Maria Dulcineia da Costa, André Santos de Souza, Ignacio Aspiazú, Leandra Cristina Soares Santos
Publikováno v:
Journal of Applied Animal Research, Vol 51, Iss 1, Pp 719-728 (2023)
The study aimed to assess the impact of mixed silages of biomass sorghum and BRS Capiaçu with cactus pear on the fermentative profile and nutritional value. The silages included forage sorghum cv. Volumax, biomass sorghum cv. ‘BRS 716,’ BRS Capi
Externí odkaz:
https://doaj.org/article/da0b6e2f1801498b9d116dfb09e7bc6b
Autor:
Fernanda Ferreira da Hora, Vicente Ribeiro Rocha Júniora, Flávio Pinto Monção, João Paulo Sampaio Rigueira, Matheus Wilson Silva Cordeiro, Luciana Albuquerque Caldeira, Fernanda Naiara Fogaça da Cruz, Amanda Maria Silva Alencar, Carlos Juliano Brant Albuquerque, Dijair Barbosa Leal, Cinara da Cunha Siqueira Carvalho, Maria Dulcineia da Costa
Publikováno v:
Journal of Applied Animal Research, Vol 51, Iss 1, Pp 74-83 (2023)
This study addressed the different proportions of millet and sorghum silage biomass BRS 716 (BRS-716 silage) in the diet of crossbred heifers ¾ Holstein x ¼ Zebu on their nutrient intake, and digestibility, microbial protein synthesis, nitrogen bal
Externí odkaz:
https://doaj.org/article/d430f89b1dc54d66ba8ba51e28911132
Autor:
Wilson Silva, Tiago Gonçalves, Kirsi Härmä, Erich Schröder, Verena Carola Obmann, María Cecilia Barroso, Alexander Poellinger, Mauricio Reyes, Jaime S. Cardoso
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Currently, radiologists face an excessive workload, which leads to high levels of fatigue, and consequently, to undesired diagnosis mistakes. Decision support systems can be used to prioritize and help radiologists making quicker decisions.
Externí odkaz:
https://doaj.org/article/a9edd6b504c14c8c8c94a40d82481903
Autor:
Antonio Augusto Lima Teixeira Júnior, Syomara Pereira da Costa Melo, Jaqueline Diniz Pinho, Thaís Bastos Moraes Sobrinho, Thalita Moura Silva Rocha, Denner Rodrigo Diniz Duarte, Liseana de Oliveira Barbosa, Wesliany Everton Duarte, Marta Regina de Castro Belfort, Kelly Gomes Duarte, Antonio Lima da Silva Neto, José de Ribamar Rodrigues Calixto, Lúcio Cristiano Paiva Paiva, Francisco Sérgio Moura Silva do Nascimento, Antonio Machado Alencar Junior, André Salim Khayat, Rita da Graça Carvalhal Frazão Corrêa, Joyce Santos Lages, Rodolfo Borges dos Reis, Wilson Silva Araújo, Gyl Eanes Barros Silva
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-22 (2022)
Abstract Background Although penile cancer (PC) is uncommon in developed countries, it is widespread in developing countries. The state of Maranhão (Northeast, Brazil) has the highest global incidence recorded for PC, and, despite its socioeconomic
Externí odkaz:
https://doaj.org/article/e7a63394cb854132af46ca65b90c21cc
Autor:
Helena Montenegro, Wilson Silva, Alex Gaudio, Matt Fredrikson, Asim Smailagic, Jaime S. Cardoso
Publikováno v:
IEEE Access, Vol 10, Pp 28333-28347 (2022)
Deep Learning achieves state-of-the-art results in many domains, yet its black-box nature limits its application to real-world contexts. An intuitive way to improve the interpretability of Deep Learning models is by explaining their decisions with si
Externí odkaz:
https://doaj.org/article/03f766a91653426dbe58c26f66b41630
Akademický článek
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Publikováno v:
IET Biometrics, Vol 10, Iss 4, Pp 441-455 (2021)
Abstract Biometric recognition and presentation attack detection (PAD) methods strongly rely on deep learning algorithms. Though often more accurate, these models operate as complex black boxes. Interpretability tools are now being used to delve deep
Externí odkaz:
https://doaj.org/article/bdb49cbc2c18486c8a3f08467cd7ba16
Publikováno v:
IEEE Access, Vol 9, Pp 148037-148047 (2021)
Although Deep Learning models have achieved incredible results in medical image classification tasks, their lack of interpretability hinders their deployment in the clinical context. Case-based interpretability provides intuitive explanations, as it
Externí odkaz:
https://doaj.org/article/b765b6586cc548ca911a50167e55362a
Autor:
Natanael Mendes Costa, Vicente Ribeiro Rocha Júnior, Luciana Albuquerque Caldeira, Flávio Pinto Monção, Walber de Oliveira Rabelo, Fredson Vieira e Silva, Matheus Wilson Silva Cordeiro, Dante Pazzanese Duarte Lanna, Daniel Ananias de Assis Pires, Dorismar David Alves, João Paulo Sampaio Rigueira, Eleuza Clarete Junqueira de Sales, Cinara da Cunha Siqueira Carvalho
Publikováno v:
Italian Journal of Animal Science, Vol 19, Iss 1, Pp 610-620 (2020)
The aim of the study was to determine the effect of different roughage associated with pseudostem hay of banana trees on nutrients intake, chemical composition of milk and cheese and the fatty acid profile of F1 Holstein x Zebu cows. Eight cows F1 Ho
Externí odkaz:
https://doaj.org/article/dc90aba7fb4a4adcacd057b6460314fa
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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