Zobrazeno 1 - 10
of 614
pro vyhledávání: '"SILVA, JONATHAN A."'
Autor:
da Silva, Jonathan Rodrigues, Murata, Helio Massaharu, dos Santos, Leonardo Camargo, Alcántara Núñez, Juan Antonio, de Souza Carvalho, Diego Vergaças, dos Santos, Adelson Duarte, Rodríguez, Ubaldo Baños, Potiens, Maria da Penha Albuquerque, Bonifacio, Daniel Alexandre Baptista
Publikováno v:
In Radiation Physics and Chemistry April 2025 229
Autor:
De Bacco, Caterina, Contisciani, Martina, Cardoso-Silva, Jonathan, Safdari, Hadiseh, Baptista, Diego, Borges, Gabriela L., Sweet, Tracy, Young, Jean-Gabriel, Koster, Jeremy, Ross, Cody T., McElreath, Richard, Redhead, Daniel, Power, Eleanor A.
Social network data are often constructed by incorporating reports from multiple individuals. However, it is not obvious how to reconcile discordant responses from individuals. There may be particular risks with multiply-reported data if people's res
Externí odkaz:
http://arxiv.org/abs/2112.11396
Publikováno v:
In Minerals Engineering 15 August 2024 214
Autor:
Guo, Jingxuan, Jiang, Huanzhu, Schuftan, David, Moreno, Jonathan D., Ramahdita, Ghiska, Aryan, Lavanya, Bhagavan, Druv, Silva, Jonathan, Huebsch, Nathaniel
Publikováno v:
In iScience 21 June 2024 27(6)
Autor:
Avelar, Pedro Henrique da Costa, Del Coco, Natalia, Lamb, Luis C., Tsoka, Sophia, Cardoso-Silva, Jonathan
Background: Following the outbreak of the coronavirus epidemic in early 2020, municipalities, regional governments and policymakers worldwide had to plan their Non-Pharmaceutical Interventions (NPIs) amidst a scenario of great uncertainty. At this ea
Externí odkaz:
http://arxiv.org/abs/2104.01133
Autor:
Bressan, Patrik Olã, Junior, José Marcato, Martins, José Augusto Correa, Gonçalves, Diogo Nunes, Freitas, Daniel Matte, Osco, Lucas Prado, Silva, Jonathan de Andrade, Luo, Zhipeng, Li, Jonathan, Garcia, Raymundo Cordero, Gonçalves, Wesley Nunes
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation, 2022
Recently, methods based on Convolutional Neural Networks (CNN) achieved impressive success in semantic segmentation tasks. However, challenges such as the class imbalance and the uncertainty in the pixel-labeling process are not completely addressed.
Externí odkaz:
http://arxiv.org/abs/2102.04566
Autor:
de Arruda, Mauro dos Santos, Osco, Lucas Prado, Acosta, Plabiany Rodrigo, Gonçalves, Diogo Nunes, Junior, José Marcato, Ramos, Ana Paula Marques, Matsubara, Edson Takashi, Luo, Zhipeng, Li, Jonathan, Silva, Jonathan de Andrade, Gonçalves, Wesley Nunes
Publikováno v:
Expert Systems with Applications, 2022
This paper presents a Convolutional Neural Network (CNN) approach for counting and locating objects in high-density imagery. To the best of our knowledge, this is the first object counting and locating method based on a feature map enhancement and a
Externí odkaz:
http://arxiv.org/abs/2102.04366
Autor:
Bandlamuri, Sruti, Custozzo, Amanda, Silva, Jonathan, Bandlamuri, Sandeep Kiran, Qian, Jiang, Paul, Alexandra R.
Publikováno v:
In World Neurosurgery March 2024 183:e761-e771
Autor:
dos Santos, Mayara Santana, Silva, Jonathan Medeiros, Barbieri, Mariana Brito, Filho, Sérgio Antunes, Backx, Bianca Pizzorno
Publikováno v:
In Plant Nano Biology February 2024 7
Autor:
Osco, Lucas Prado, Junior, José Marcato, Ramos, Ana Paula Marques, Jorge, Lúcio André de Castro, Fatholahi, Sarah Narges, Silva, Jonathan de Andrade, Matsubara, Edson Takashi, Pistori, Hemerson, Gonçalves, Wesley Nunes, Li, Jonathan
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation, 2022
Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, time-series, natural language, audio, video, and many others. In the remote sensing field, surveys an
Externí odkaz:
http://arxiv.org/abs/2101.10861