Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Valderi R. Q. LEITHARDT"'
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:
Lidia M. da SILVA, Lucas P. S. DIAS, Jorge L. V. BARBOSA, Sandro J. RIGO, Julio C. S. dos ANJOS, Claudio F. R. GEYER, Valderi R. Q. LEITHARDT
Publikováno v:
Informatics in Education, Vol 21, Iss 1, Pp 113-146 (2022)
Advances in information and communication technologies have contributed to the increasing use of virtual learning environments as support tools in teaching and learning processes. Virtual platforms generate a large volume of educational data, and the
Externí odkaz:
https://doaj.org/article/4be7315d51ad436ca3de26078e67501d
Autor:
Paulo Ricardo Rodrigues De Souza, Kassiano J. Matteussi, Alexandre Da Silva Veith, Breno F. Zanchetta, Valderi R. Q. Leithardt, Alvaro L. Murciego, Edison Pignaton De Freitas, Julio C. S. Dos Anjos, Claudio F. R. Geyer
Publikováno v:
IEEE Access, Vol 8, Pp 219124-219136 (2020)
The rapid growth of stream applications in financial markets, health care, education, social media, and sensor networks represents a remarkable milestone for data processing and analytic in recent years, leading to new challenges to handle Big Data i
Externí odkaz:
https://doaj.org/article/d3ee8a656ada49cc811106103bcdbf77
Autor:
Julio C. S. Dos Anjos, Kassiano J. Matteussi, Paulo R. R. De Souza, Gabriel J. A. Grabher, Guilherme A. Borges, Jorge L. V. Barbosa, Gabriel V. Gonzalez, Valderi R. Q. Leithardt, Claudio F. R. Geyer
Publikováno v:
IEEE Access, Vol 8, Pp 170281-170294 (2020)
Big Data applications are present in many areas such as financial markets, search engines, stream services, health care, social networks, and so on. Data analysis provides value to information for organizations. Classical Cloud Computing represents a
Externí odkaz:
https://doaj.org/article/30312a9814ec4b389dbd18097437aff8
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 12, Iss 2, p 28 (2023)
Technology plays a crucial role in the management of natural resources in agricultural production. Free and open-source software and sensor technology solutions have the potential to promote more sustainable agricultural production. The goal of this
Externí odkaz:
https://doaj.org/article/737289814e504b36bae997289f26af6a
Publikováno v:
Sensors, Vol 22, Iss 13, p 4756 (2022)
A significant rise in the adoption of streaming applications has changed the decision-making processes in the last decade. This movement has led to the emergence of several Big Data technologies for in-memory processing, such as the systems Apache St
Externí odkaz:
https://doaj.org/article/016ddf1aff0d4c3494ff2b179a3a6163
Autor:
Luiz Henrique A. Salazar, Valderi R. Q. Leithardt, Wemerson Delcio Parreira, Anita M. da Rocha Fernandes, Jorge Luis Victória Barbosa, Sérgio Duarte Correia
Publikováno v:
Future Internet, Vol 14, Iss 1, p 3 (2021)
The health sector faces a series of problems generated by patients who miss their scheduled appointments. The main challenge to this problem is to understand the patient’s profile and predict potential absences. The goal of this work is to explore
Externí odkaz:
https://doaj.org/article/760507754e514c06ad5897d38bb0d4e9
Autor:
Paulo Ricardo dos Santos, Débora N. F. Barbosa, Eduardo G. Azevedo Neto, Jorge L. V. Barbosa, Sérgio D. Correia, Valderi R. Q. Leithardt
Publikováno v:
Education Sciences, Vol 11, Iss 8, p 442 (2021)
The use of information communication technologies (ICT) in education brings up new possibilities of promoting learning and health experiences. In this sense, education contexts of the 21st century must consider these two areas of knowledge, especiall
Externí odkaz:
https://doaj.org/article/78160f1895de49c999a2a3ba1764c879
Autor:
Julio C. S. dos Anjos, João L. G. Gross, Kassiano J. Matteussi, Gabriel V. González, Valderi R. Q. Leithardt, Claudio F. R. Geyer
Publikováno v:
Sensors, Vol 21, Iss 9, p 2914 (2021)
Advances in communication technologies have made the interaction of small devices, such as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new set of complex applications with ever greater task processing needs. These
Externí odkaz:
https://doaj.org/article/3ff3a1af451b46f78e3b97dc714bda54
Autor:
Lucas D. L. da Silva, Thiago F. Pereira, Valderi R. Q. Leithardt, Laio O. Seman, Cesar A. Zeferino
Publikováno v:
Applied Sciences, Vol 10, Iss 20, p 7146 (2020)
Exoskeletons are wearable mobile robots that combine various technologies to enable limb movement with greater strength and endurance, being used in several application areas, such as industry and medicine. In this context, this paper presents the de
Externí odkaz:
https://doaj.org/article/cabcc960682d4f4ab9feadca7dbe745c