Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Elisson Rocha"'
Autor:
M. V. Marquezini, Judith Kelner, Guto Leoni Santos, Leylane Graziele Ferreira da Silva, Djamel Sadok, Mattias Wildeman, Patricia Takako Endo, Andre Moreira, Glauco Estácio Gonçalves, Amardeep Mehta, Elisson Rocha, Diego de Freitas Bezerra
Publikováno v:
The Journal of Supercomputing. 77:8995-9019
With the popularity of mobile devices, the next generation of mobile networks has faced several challenges. Different applications have been emerged, with different requirements. Offering an infrastructure that meets different types of applications w
Autor:
Djamel Sadok, Judith Kelner, Mattias Wildeman, Leylane Graziele Ferreira da Silva, M. V. Marquezini, Patricia Takako Endo, Guto Leoni Santos, Diego de Freitas Bezerra, Andre Moreira, Amardeep Mehta, Glauco Estácio Gonçalves, Elisson Rocha
Publikováno v:
Software: Practice and Experience. 51:868-892
Publikováno v:
IEEE Latin America Transactions. 18:138-146
The widespread adoption of cloud computing has been driven by technological advantages, such as pay-as-you-go plan, scalability and high availability. From cloud service providers point-of-view, managing all these high customer expectations is a grow
Autor:
Glauco Estácio Gonçalves, Judith Kelner, Guto Leoni Santos, Amardeep Mehta, Andre Moreira, Patricia Takako Endo, M. V. Marquezini, Elisson Rocha, Akos Recse, Diego de Freitas Bezerra, Leylane Ferreira, Djamel Sadok
The network function virtualization (NFV) paradigm is an emerging technology that provides network flexibility by allowing the allocation of network functions over commodity hardware, like legacy servers in an IT infrastructure. In comparison with tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2e19ca9b2bc46db839d3b33fd35aff7
https://doi.org/10.21203/rs.3.rs-563622/v1
https://doi.org/10.21203/rs.3.rs-563622/v1
Autor:
Lubnnia Morais Florêncio Souza, Vanderson de Souza Sampaio, Patricia Takako Endo, Geovanne Oliveira Alves, Maicon Herverton Lino Ferreira da Silva Barros, Elisson Rocha, João Fausto Lorenzato de Oliveira, Theo Lynn
Publikováno v:
da Silva Barros, Maicon Herverton Lino Ferreira ORCID: 0000-0002-0275-3298 , Alves, Geovanne Oliveira ORCID: 0000-0002-2084-5516 , Souza, Lubnnia Morais Florêncio ORCID: 0000-0002-2188-6272 , da Silva Rocha, Elisson ORCID: 0000-0002-7742-2995 , Oliveira, João Fausto Lorenzato de ORCID: 0000-0002-1150-4904 , Lynn, Theo ORCID: 0000-0001-9284-7580 , Sampaio, Vanderson ORCID: 0000-0001-7307-8851 and Takako Endo, Patricia ORCID: 0000-0002-9163-5583 (2021) Benchmarking machine learning models to assist in the prognosis of tuberculosis. Informatics, 8 (2). ISSN 2227-9709
Informatics, Vol 8, Iss 27, p 27 (2021)
Informatics
Volume 8
Issue 2
Informatics, Vol 8, Iss 27, p 27 (2021)
Informatics
Volume 8
Issue 2
Tuberculosis (TB) is an airborne infectious disease caused by organisms in the Mycobacterium tuberculosis (Mtb) complex. In many low and middle-income countries, TB remains a major cause of morbidity and mortality. Once a patient has been diagnosed w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa86013aa04ccc488d9c71f5901ff943
http://doras.dcu.ie/27522/
http://doras.dcu.ie/27522/
Autor:
Elisson Rocha, João Fausto Lorenzato de Oliveira, Geovanne Oliveira Alves, Lubnnia Morais Florêncio Souza, Vanderson de Souza Sampaio, Patricia Takako Endo, Theo Lynn, Maicon Herverton Lino Ferreira da Silva Barros
Tuberculosis (TB) is an airborne infectious disease caused by organisms in the Mycobacterium tuberculosis (Mtb) complex. In many low and middle-income countries, TB remains a major cause of morbidity and mortality. Once a patient has been diagnosed w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d12da423dd953e92c27a2f5835996a9b
https://doi.org/10.20944/preprints202103.0284.v2
https://doi.org/10.20944/preprints202103.0284.v2
Autor:
Djamel Sadok, Glauco Estácio Gonçalves, Elisson Rocha, Patricia Takako Endo, Guto Leoni Santos, Mattias Wildeman, Diego de Freitas Bezerra, Leylane Ferreira, Andre Moreira, Amardeep Mehta, Judith Kelner
Publikováno v:
SMC
With the continuous growth of the number of mobile devices connected to the Internet, cellular network infrastructure owners are facing several new challenges. The fifth generation of mobile technology (5G) is planned to enable a fully mobile and con
Autor:
Guto Leoni Santos, Theo Lynn, Malika Bendechache, Pierangelo Rosati, Patricia Takako Endo, Silvano Ramos de Assis Neto, Elisson Rocha
Publikováno v:
Ramos de Assis Neto, Silvano, Leoni Santos, Guto, da Silva Rocha, Elisson ORCID: 0000-0002-7742-2995 , Bendechache, Malika ORCID: 0000-0003-0069-1860 , Rosati, Pierangelo ORCID: 0000-0002-6070-0426 , Lynn, Theo ORCID: 0000-0001-9284-7580 and Takako Endo, Patricia ORCID: 0000-0002-9163-5583 (2020) Detecting human Activities Based on a multimodal sensor data set using a bidirectional long short-term memory model: a case study. In: Ponce, Hiram ORCID: 0000-0002-6559-7501 , Martínez-Villaseñor, Lourdes ORCID: 0000-0002-9038-7821 , Brieva, Jorge ORCID: 0000-0002-5430-8778 and Moya-Albor, Ernesto ORCID: 0000-0002-9637-786X , (eds.) Challenges and Trends in Multimodal Fall Detection for Healthcare. Studies in Systems, Decision and Control (SSDC), 273 . Springer, pp. 31-51. ISBN 978-3-030-38747-1
Challenges and Trends in Multimodal Fall Detection for Healthcare ISBN: 9783030387471
Challenges and Trends in Multimodal Fall Detection for Healthcare ISBN: 9783030387471
Human falls are one of the leading causes of fatal unintentional injuries worldwide. Falls result in a direct financial cost to health systems, and indirectly, to society’s productivity. Unsurprisingly, human fall detection and prevention is a majo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::191a1309316dc18acee1928a6b1e2302
http://doras.dcu.ie/24471/
http://doras.dcu.ie/24471/
Autor:
Guto Leoni Santos, Andre Moreira, Djamel Sadok, Judith Kelner, Leylane Ferreira, Lubnnia Morais Florêncio Souza, Elisson Rocha, Glauco Estácio Gonçalves
Publikováno v:
The Cloud-to-Thing Continuum ISBN: 9783030411091
The number of connected devices and the amount of data traffic exchanged through mobile networks is expected to double in the near future. Long Term Evolution (LTE) and fifth generation (5G) technologies are evolving to support the increased volume,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92266de3553d88de95bcc2b17f4e596c
https://doi.org/10.1007/978-3-030-41110-7_3
https://doi.org/10.1007/978-3-030-41110-7_3
Autor:
Thomás Tabosa De Oliveira, Elisson Rocha, Alves, Isabela Simoes, Guto Leoni Dos Santos, Lynn, Theo, Vanderson De Souza Sampaio, Endo, Patricia Takako
A Tuberculose (TB) e reconhecida como a doença mais mortal do mundo, segundo a World Health Organization (WHO). O Brasil e um dos países com alta carga de TB, e uma das maiores taxas de mortalidade do país encontrasse no estado do Amazonas. Os pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0301dcc9995127ecd7ac805b847512be