Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Julio C. S. dos ANJOS"'
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:
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:
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
Publikováno v:
Journal of Internet Services and Applications. 14:1-9
The constant technological advances bring new devices to the market every day. Due to this, heterogeneous Wireless Sensor Network (WSN) are common scenarios in many applications. Neural Network (NN) based models may implement particular features prov
Autor:
Valderi Reis Quietinho Leithardt, Alexandre da Silva Veith, Kassiano J. Matteussi, Breno F. Zanchetta, Paulo R. R. De Souza, Julio C. S. dos Anjos, Álvaro Lozano Murciego, Edison Pignaton de Freitas, Cláudio 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
Autor:
Lidia Martins da Silva, Lucas Pfeiffer Salomão Dias, Cláudio F. R. Geyer, Sandro Rigo, Valderi Reis Quietinho Leithardt, Jorge Luis Victória Barbosa, Julio C. S. dos Anjos
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Submitted by CVPortalegre Deposit (cv_ipportalegre@cienciavitae.pt) on 2021-07-26T14:27:37Z No. of bitstreams: 2 infedu-0-0-infedu_2022_1_5.pdf: 3169778 bytes, checksum: 5ec1b12c3b3d87b3ac2b056cb24a6102 (MD5) package.zip: 3119207 bytes, checksum: f72
Autor:
Julio C. S. dos Anjos, Cláudio F. R. Geyer, Jorge Luis Victória Barbosa, Joneval Zanella Gomes, José Vicente Canto, Gustavo Pessin
Publikováno v:
Interacting with Computers. 31:465-479
The space inside a vehicle, which people can enjoy while travelling, is becoming more intelligent due to the technological developments within the automotive industry. This has influenced the increase in new services that are intended to fulfil the n