Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Bruno T. Kuehne"'
Autor:
Isaac C. Ferreira, Marcelo V. C. Aragao, Edvard M. Oliveira, Bruno T. Kuehne, Edmilson M. Moreira, Otavio A. S. Carpinteiro
Publikováno v:
IEEE Access, Vol 9, Pp 138618-138632 (2021)
Spam e-mails are unsolicited e-mails received by users of the e-mail service. Spam e-mails cause serious harm to organizations, for they waste, among other things, their computational and networking resources. To reduce the damage caused by them, org
Externí odkaz:
https://doaj.org/article/209603a806694194be8fd401fd8a81fa
Autor:
Marcelo V. C. Aragao, Isaac C. Ferreira, Edvard M. Oliveira, Bruno T. Kuehne, Edmilson M. Moreira, Otavio A. S. Carpinteiro
Publikováno v:
IEEE Access, Vol 9, Pp 157482-157498 (2021)
The volume of e-mails has been increasing in recent years. However, since 2005, at least half of these e-mails have been made up of spam. This massive traffic of unwanted messages causes losses to users, such as the excessive and unnecessary use of t
Externí odkaz:
https://doaj.org/article/a35ad6e93d9045b8a99414311531d401
Autor:
Rafael M. D. Frinhani, Maycon L. M. Peixoto, Dionisio Machado Leite Filho, Isabela Drummond, Stephan Reiff-Marganiec, Luis Sepulevene, Bruno G. Batista, Bruno T. Kuehne
Publikováno v:
The Computer Journal. 65:2073-2086
With industry 4.0, data-based approaches are in vogue. However, extracting the essential features is not a trivial task and greatly influences the final result. There is also a need for specialized system knowledge to monitor the environment and diag
Autor:
Edvard Martins de Oliveira, Isaac C. Ferreira, Bruno T. Kuehne, Otavio A. S. Carpinteiro, Marcelo V. C. Aragao, Edmilson M. Moreira
Publikováno v:
IEEE Access, Vol 9, Pp 157482-157498 (2021)
The volume of e-mails has been increasing in recent years. However, since 2005, at least half of these e-mails have been made up of spam. This massive traffic of unwanted messages causes losses to users, such as the excessive and unnecessary use of t
Autor:
Marcelo V. C. Aragao, Edmilson M. Moreira, Otavio A. S. Carpinteiro, Isaac C. Ferreira, Bruno T. Kuehne, Edvard Martins de Oliveira
Publikováno v:
IEEE Access, Vol 9, Pp 138618-138632 (2021)
Spam e-mails are unsolicited e-mails received by users of the e-mail service. Spam e-mails cause serious harm to organizations, for they waste, among other things, their computational and networking resources. To reduce the damage caused by them, org
Publikováno v:
IEEE Access, Vol 8, Pp 199503-199512 (2020)
Vehicles are becoming more intelligent and connected due to the demand for faster, efficient, and safer transportation. For this transformation, it was necessary to increase the amount of data transferred between electronic modules in the vehicular n
Autor:
Joao Victor de M. S. Gomes, Joao Paulo R. R. Leite, Bruno G. Batista, Edvard M. de Oliveira, Rafael de M. D. Frinhani, Bruno T. Kuehne, Ana Flavia L. Goncalves, Rafael P. Pagan
Publikováno v:
2021 IEEE Industry Applications Society Annual Meeting (IAS).
Autor:
Eric B. Barros, Wesley O. Souza, Matheus T. M. Barbosa, Bruno G. Batista, Bruno T. Kuehne, Dionisio Leite, Maycon L. M. Peixoto
Publikováno v:
Anais do XXXIX Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2021).
Em Microgrids a produção de energia é realizada combinando fontes renováveis e não renováveis de geração de energia. Desse modo, é fundamental o controle da geração não renovável para evitar o desperdício. Esse tipo de problema tem sido
Autor:
Maycon L. M. Peixoto, Dionisio Leite, Bruno T. Kuehne, Bruno G. Batista, Paulo V. G. dos Santos, Edmilson M. Moreira, Stephan Reiff-Marganiec
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030704155
Recommender systems are filters that suggest products of interest to customers, which may positively impact sales. Nowadays, there is a multitude of algorithms for recommender systems, and their performance varies widely. So it is crucial to choose t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86ee6cfce464351d5b675782f2771910
https://doi.org/10.1007/978-3-030-70416-2_43
https://doi.org/10.1007/978-3-030-70416-2_43
Publikováno v:
SCC
This paper presents a reference method for performance evaluation in Big Data architectures, called by Improvement Method for Big Data Architectures (IMBDA) aiming to increase the performance, and consequently raising the quality of service provided.