Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kassiano J. Matteussi"'
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
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:
Gabriel Villarrubia González, Valderi Reis Quietinho Leithardt, Julio C. S. dos Anjos, Cláudio Geyer, Kassiano J. Matteussi, João Luiz Grave Gross
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::09d8f1075f77d6fd0f03e648195fd744
Autor:
Gabriel J. A. Grabher, Guilherme A. Borges, Jorge Luis Victória Barbosa, Valderi Reis Quietinho Leithardt, Cláudio F. R. Geyer, Kassiano J. Matteussi, Gabriel Villarrubia González, Julio C. S. dos Anjos, Paulo R. R. De Souza
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
IEEE Access, Vol 8, Pp 170281-170294 (2020)
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::2738fafab9cbe8dbcf13884edf6a837f
Publikováno v:
Service-Oriented Computing ISBN: 9783030653095
ICSOC
ICSOC
The rapid growth of IoT devices and applications with data-intensive processing has led to energy consumption and latency concerns. These applications tend to offload task processing to remote Data Centers in the Cloud, distant from end-users, increa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fabaafee76ffe07e0afb34d41d6f8cd8
https://doi.org/10.1007/978-3-030-65310-1_8
https://doi.org/10.1007/978-3-030-65310-1_8
Autor:
Kassiano J. Matteussi, Jobe D. D. Dos Santos, Germano Bertoncello, Cláudio F. R. Geyer, Julio C. S. dos Anjos, Breno F. Zanchetta
Publikováno v:
ISCC
Deep Learning (DL) and Big Data (BD) have converged to a hybrid computing paradigm that merges the dynamic processing in DL models with the computational power of the distributed processing of the BD frameworks. In this context, this work aims to con
Autor:
Cláudio F. R. Geyer, Valderi Reis Quietinho Leithardt, João Luiz Grave Gross, Kassiano J. Matteussi, Gabriel Villarrubia González, Julio C. S. dos Anjos
Publikováno v:
Sensors
Volume 21
Issue 9
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2914, p 2914 (2021)
Volume 21
Issue 9
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2914, 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