Zobrazeno 1 - 10
of 521
pro vyhledávání: '"Juan, Francisco de"'
Autor:
Leandro Starke, Aurélio Faustino Hoppe, Andreza Sartori, Stefano Frizzo Stefenon, Juan Francisco De Paz Santana, Valderi Reis Quietinho Leithardt
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Pump sizing is the process of dimensional matching of an impeller and stator to provide a satisfactory performance test result and good service life during the operation of progressive cavity pumps. In this process, historical data analysis
Externí odkaz:
https://doaj.org/article/aea2a0299e804cec954e4e24a49a55d8
Autor:
Ancilon Leuch Alencar, Marcelo Dornbusch Lopes, Anita Maria da Rocha Fernandes, Julio Cesar Santos dos Anjos, Juan Francisco De Paz Santana, Valderi Reis Quietinho Leithardt
Publikováno v:
Future Internet, Vol 16, Iss 3, p 97 (2024)
In the current era of social media, the proliferation of images sourced from unreliable origins underscores the pressing need for robust methods to detect forged content, particularly amidst the rapid evolution of image manipulation technologies. Exi
Externí odkaz:
https://doaj.org/article/c7d02b34bfab4155829aa8edca8b9777
Entropy to Mitigate Non-IID Data Problem on Federated Learning for the Edge Intelligence Environment
Autor:
Fernanda C. Orlandi, Julio C. S. Dos Anjos, Valderi R. Q. Leithardt, Juan Francisco De Paz Santana, Claudio F. R. Geyer
Publikováno v:
IEEE Access, Vol 11, Pp 78845-78857 (2023)
Machine Learning (ML) algorithms process input data making it possible to recognize and extract patterns from a large data volume. Likewise, Internet of Things (IoT) devices provide knowledge in a Federated Learning (FL) environment, sharing paramete
Externí odkaz:
https://doaj.org/article/73a1497ebacb4deb89422ec592dd5554
Autor:
Luis Augusto Silva, Valderi Reis Quietinho Leithardt, Vivian Felix Lopez Batista, Gabriel Villarrubia Gonzalez, Juan Francisco De Paz Santana
Publikováno v:
IEEE Access, Vol 11, Pp 62918-62931 (2023)
This paper presents a novel automated road damage detection approach using Unmanned Aerial Vehicle (UAV) images and deep learning techniques. Maintaining road infrastructure is critical for ensuring a safe and sustainable transportation system. Howev
Externí odkaz:
https://doaj.org/article/25ab41cd5e374745b027278475d30f7d
Autor:
Humberto Jorge De Moura Costa, Cristiano Andre Da Costa, Rodrigo Da Rosa Righi, Rodolfo Stoffel Antunes, Juan Francisco De Paz Santana, Valderi Reis Quietinho Leithardt
Publikováno v:
IEEE Access, Vol 10, Pp 44290-44304 (2022)
Nowadays, there are many fragmented records of patient’s health data in different locations like hospitals, clinics, and organizations all around the world. With the arrival of the COVID-19 pandemic, several governments and institutions struggled t
Externí odkaz:
https://doaj.org/article/87dc88c00d474b50baa409a72cf6bc7c
Autor:
Rafael Silfarney Alves Araújo, Jéssica Cristina Tironi, Wemerson Delcio Parreira, Renata Coelho Borges, Juan Francisco De Paz Santana, Valderi Reis Quietinho Leithardt
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 3199 (2023)
The increase in life expectancy, according to the World Health Organization, is a fact, and with it rises the incidence of age-related neurodegenerative diseases. The most recurrent symptoms are those associated with tremors resulting from Parkinson
Externí odkaz:
https://doaj.org/article/2994ac0797414eefa03ebb14e9b9a450
Autor:
Francisco Garcia Encinas, Luis Augusto Silva, Andre Sales Mendes, Gabriel Villarrubia Gonzalez, Valderi Reis Quietinho Leithardt, Juan Francisco De Paz Santana
Publikováno v:
IEEE Access, Vol 9, Pp 43444-43457 (2021)
The usage of drones is increasingly spreading into new fields of application, ranging from agriculture to security. One of these new applications is sound recording in areas of difficult access. The challenge that arises when using drones for this pu
Externí odkaz:
https://doaj.org/article/be66faa26abd454dab8e1d6406c68ebb
Autor:
Starke, Leandro, Hoppe, Aurélio Faustino, Sartori, Andreza, Stefenon, Stefano Frizzo, Santana, Juan Francisco De Paz, Leithardt, Valderi Reis Quietinho
Publikováno v:
Scientific Reports; 11/22/2023, Vol. 13 Issue 1, p1-12, 12p
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