Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Silva DA"'
Autor:
do Nascimento, Marcelo, da Silva Kauark, Fabiana, Zanetti Becalli, Fernanda, Silva de Oliveira, Elias, Garcez de Moura, Paulo Rogerio, Silva da Silva, André Luís
Publikováno v:
New Trends in Qualitative Research; 2023, Vol. 17, p1-14, 14p
Publikováno v:
IEEE Robotics and Automation Letters. 5:6365-6370
Underwater localization is a challenging task due to the lack of a Global Positioning System (GPS). However, the capability to match georeferenced aerial images and acoustic data can help with this task. Autonomous hybrid aerial and underwater vehicl
Autor:
Daniela Ponce, Roberta Senger, Rufino de Freitas Silva, Elayne Crestani Pereira, Pedro Ledic Assaf, Maria Angelica Pires Ferreira, Adriana Falangola Benjamin Bezerra, Heloisa Reniers Vianna, Milena Soriano Marcolino, Saionara Cristina Francisco, Natalia da Cunha Severino Sampaio, Fernanda D'Athayde Rodrigues, Maiara Anschau Floriani, Ana Luiza Bahia Alves Scotton, Fernando Graca Aranha, Neimy Ramos de Oliveira, Yara Neves Marques Barbosa Ribeiro, Máderson Alvares de Souza Cabral, Maria Aparecida Camargos Bicalho, Giovanna Grunewald Vietta, José Miguel Chatkin, Maria Clara Pontello Barbosa Lima, Thaís Lorenna Souza Sales, Thainara Conceicao de Oliveira, Amanda de Oliveira Maurilio, Barbara Lopes Farace, Cláudio Moisés Valiense de Andrade, Rochele Mosmann Menezes, Milton Henriques Guimaraes Junior, Raquel Lutkmeier, Magda Cesar Raposo, Renan Goulart Finger, Marcelo Carneiro, Tatiana Kurtz, Andriele Abreu Castro, Fernando Anschau, Lucas de Deus Sousa, Mariana Frizzo de Godoy, Luisa Elem Almeida Santos, Meire Pereira de Figueiredo, Luciane Kopittke, Monica Aparecida de Paula De Sordi, Leonardo Seixas de Oliveira, Christiane Correa Rodrigues cimini, Luciano de Souza Viana, Talita Fischer Oliveira, Yuri Carlotto Ramires, Fernando Antônio Botoni, Luisa Argolo Assis, Polianna Delfino Pereira, Cintia Alcantara de Carvalho, Rafael Guimarães Tavares da Silva, Bruno Barbosa Miranda de Paiva, Andre Soares de Moura Costa, Guilherme Fagundes Nascimento, Joice Coutinho de Alvarenga, Gisele Alsina Nader Bastos, Rafael Lima Rodrigues de Carvalho, Karina Paula Medeiros Prado Martins, Julia Drumond Parreiras de Morais, Matheus Carvalho Alves Nogueira, Luís César de Castro, Helena Duani, Julia Di Sabatino Santos Guimaraes, Alexandre Vargas Schwarzbold, Helena Carolina Noal, Virginia Mara Reis Gomes, Thulio Henrique Oliveira Diniz, Evelin Paola de Almeida Cenci, Marcos André Gonçalves, Jamille Hemetrio Salles Martins Costa, Lilian Santos Pinheiro, Maíra Viana Rego Souza e Silva, Silvia Ferreira Araujo, Aline Gabrielle Sousa Nunes, Luanna da Silva Monteiro, Frederico Bartolazzi, Leila Beltrami Moreira, Fernanda Barbosa Lucas, Reginaldo Aparecido Valacio, Daniel Vitorio Silveira, Magda Carvalho Pires, L. E. F. Ramos, Joanna d'Arc Lyra Batista, Henrique Cerqueira Guimaraes, Euler Roberto Fernandes Manenti, Isabela Moraes Gomes, Karen Brasil Ruschel, Tatiani Oliveira Fereguetti, Silvana Mangeon Mereilles Guimaraes, Liege Barella Zandona, Jessica Rayane Correa Silva da Fonseca, Juliana Machado Rugolo
ObjectiveTo provide a thorough comparative study among state-of-the-art machine learning methods and statistical methods for determining in-hospital mortality in COVID-19 patients using data upon hospital admission; to study the reliability of the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55770af071962149e2d1fb907b9fe33d
https://doi.org/10.1101/2021.11.01.21265527
https://doi.org/10.1101/2021.11.01.21265527
Autor:
Diego Egídio Ribeiro, Adilson Silva da Costa, Eduardo Yoshio Nakano, Marcelo Angelo Cirillo, Mariana Resende, Flávio Meira Borém
Publikováno v:
Semina: Ciências Agrárias. 41:479-492
Correspondence analysis is a multivariate dimensionality-reduction technique applied to data structured into contingency tables. The main outcome of this approach is the generation of perceptual maps aimed at the study of similarity between categoric
Autor:
Silvia Silva da Costa Botelho, Cristiano Rafael Steffens, Lucas Ricardo Vieira Messias, Paulo L. J. Drews-Jr
Publikováno v:
Journal of Intelligent & Robotic Systems. 99:609-627
This work proposes an artificial neural network model to restore images damaged by inadequate sensor exposure, saturation, and underexposure, at the time of acquisition. The problem has significant relevance in computational and robotics vision appli
Autor:
Claudio D. Mello, Matheus M. dos Santos, Giovanni G. De Giacomo, Silvia Silva da Costa Botelho, Paulo L. J. Drews-Jr
Publikováno v:
2021 Latin American Robotics Symposium (LARS), 2021 Brazilian Symposium on Robotics (SBR), and 2021 Workshop on Robotics in Education (WRE).
Publikováno v:
2021 Latin American Robotics Symposium (LARS), 2021 Brazilian Symposium on Robotics (SBR), and 2021 Workshop on Robotics in Education (WRE).
Autor:
Márcio Ribeiro, Rohit Gheyi, Vander Alves, Alessandro Garcia, Sven Apel, Flávio Medeiros, José Aldo Silva da Costa, Baldoino Fonseca
Publikováno v:
Empirical Software Engineering
The C preprocessor is widely used in practice. Conditional compilation with #ifdef annotations allows developers to flexibly introduce variability in their programs. Developers can use disciplined annotations, entirely enclosing full statements with
Autor:
Cristiano Rafael Steffens, Silvia Silva da Costa Botelho, Lucas Ricardo Vieira Messias, Paulo Jorge Lilles Drews-Jr
Publikováno v:
Journal of Intelligent & Robotic Systems. 101
We propose an evaluation framework that emulates poor image exposure conditions, low-range image sensors, lossy compression, as well as noise types which are common in robot vision. We present a rigorous evaluation of the robustness of several high-l
Publikováno v:
Journal of Intelligent & Robotic Systems. 101
Underwater navigation and localization are greatly enhanced by the use of acoustic images. However, such images are of difficult interpretation. Contrarily, aerial images are easier to interpret, but require Global Positioning System (GPS) sensors. D