Zobrazeno 1 - 10
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pro vyhledávání: '"André, Carlos"'
The rook monoid, also known as the symmetric inverse monoid, is the archetypal structure when it comes to extend the principle of symmetry. In this paper, we establish a Schur-Weyl duality between this monoid and an extension of the classical Schur a
Externí odkaz:
http://arxiv.org/abs/2404.01493
Autor:
Jackelline Evellin Moreira dos Santos, Virginia Visconde Brasil, Cissa Azevedo, Lívia Cristina de Resende Izidoro, Anna Julia Guimarães Batista, André Carlos Santos Ferreira, Luciana Regina Ferreira da Mata
Publikováno v:
Revista Latino-Americana de Enfermagem, Vol 32 (2024)
Objective: to map pelvic floor muscle training protocols available in the literature for the management of post-prostatectomy urinary incontinence. Method: this is a scoping review conducted in six databases. Information retrieval was performed using
Externí odkaz:
https://doaj.org/article/fb643691c67a4e249eec7a272dc25233
Autor:
Silva, Marília Costa Rosendo, Siqueira, Felipe Alves, Tarrega, João Pedro Mantovani, Beinotti, João Vitor Pataca, Nunes, Augusto Sousa, Gardini, Miguel de Mattos, da Silva, Vinícius Adolfo Pereira, da Silva, Nádia Félix Felipe, de Carvalho, André Carlos Ponce de Leon Ferreira
Extracting knowledge from unlabeled texts using machine learning algorithms can be complex. Document categorization and information retrieval are two applications that may benefit from unsupervised learning (e.g., text clustering and topic modeling),
Externí odkaz:
http://arxiv.org/abs/2208.01712
Autor:
Marana, Fernanda Tostes, da Silva Fernandes, Renato, Guzmán, Jorge Luis Bazán, de Leon Ferreira de Carvalho, André Carlos Ponce, Cúri, Mariana
Publikováno v:
In Expert Systems With Applications 1 July 2024 245
Autor:
André Carlos da Silva, Fernando das Graças Braga da Silva, Victor Eduardo de Mello Valério, Alex Takeo Yasumura Lima Silva, Sara Maria Marques, José Antonio Tosta dos Reis
Publikováno v:
Revista Brasileira de Recursos Hídricos, Vol 29 (2024)
Abstract Research around the world has focused on developing ways to predict hydraulic parameters in water distribution systems. The application of these forecasts can contribute to the decision-making of water distribution systems managers, aiming t
Externí odkaz:
https://doaj.org/article/8ee5c481995246b39b06a11692317234
Publikováno v:
REM: International Engineering Journal, Vol 77, Iss 2 (2024)
Abstract The modeling of mineral deposits has been improved over the years with the incorporation of mineralogical and metallurgical information obtained from drilling samples that make up the pillars for the construction of resource models. However,
Externí odkaz:
https://doaj.org/article/00194fbad91d442faa07c66367bf4f1f
Publikováno v:
REM: International Engineering Journal, Vol 77, Iss 1, Pp 75-82 (2023)
Abstract Cornstarch is one of the most used depressants in mineral flotation operations. However, corn is a costly input for the Brazilian mineral industry, since its main destination is to serve the animal and human food market and exports. In this
Externí odkaz:
https://doaj.org/article/bd407993c22e46eb9a6ee963a7a5afd2
Autor:
Anderson Paulo Avila Santos, Muhammad Kabiru Nata’ala, Jonas Coelho Kasmanas, Alexander Bartholomäus, Tina Keller-Costa, Stephanie D. Jurburg, Tamara Tal, Amélia Camarinha-Silva, João Pedro Saraiva, André Carlos Ponce de Leon Ferreira de Carvalho, Peter F. Stadler, Danilo Sipoli Sanches, Ulisses Rocha
Publikováno v:
Animal Microbiome, Vol 5, Iss 1, Pp 1-13 (2023)
Abstract Background Metagenomic data can shed light on animal-microbiome relationships and the functional potential of these communities. Over the past years, the generation of metagenomics data has increased exponentially, and so has the availabilit
Externí odkaz:
https://doaj.org/article/0db8c2fed14746e89e5023c1311b893d
Autor:
Pereira, Geand Trindade, Santos, Moises Rocha dos, de Carvalho, Andre Carlos Ponce de Leon Ferreira
With the popularity of Machine Learning (ML) solutions, algorithms and data have been released faster than the capacity of processing them. In this context, the problem of Algorithm Recommendation (AR) is receiving a significant deal of attention rec
Externí odkaz:
http://arxiv.org/abs/2106.03954