Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jorge Cristhian Chamby-Diaz"'
Publikováno v:
BRACIS
Learning from data streams requires efficient algorithms capable of constructing a model according to the arrival of new instances. These data stream learners need a quick and real-time response, but mainly, they must be tailored to adapt to possible
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::401984a8e80ed4048d99a5710df29c9f
https://doi.org/10.1109/bracis.2019.00043
https://doi.org/10.1109/bracis.2019.00043
Publikováno v:
BRACIS
Social networks have been recently employed as a source of information for traffic event detection, with particular reference to traffic incidents. However, extracting meaningful and actionable knowledge from user-generated content is a complex endea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbbcbaf3d9a1798adf56c21bc3979434
https://doi.org/10.1109/bracis.2019.00144
https://doi.org/10.1109/bracis.2019.00144
Autor:
L. de A. Schmidt, Matheus Vieira Lessa Ribeiro, Ana L. C. Bazzan, Jorge Cristhian Chamby-Diaz, Marcia Pasin, R. S. Estevam, Jorge Leonid Aching Samatelo
Publikováno v:
ICCP
Current estimates show that in Brazil traffic congestion has a huge impact in the economy. Although Intelligent Transportation Systems (ITS) techniques can contribute to reduce this figure, many of the proposed ITS-related techniques have not yet bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8124285166735434dd51699f369931a
https://doi.org/10.1109/iccp48234.2019.8959742
https://doi.org/10.1109/iccp48234.2019.8959742
Publikováno v:
Expert Systems with Applications. 152:113406
It is increasingly common applications where data are naturally generated in a distributed fashion, especially after the emergence of technologies like the Internet of Things (IoT). In sensor networks, in collaborative health or genomic projects, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::932bcb2476de74650462c48d21f80a40
https://doi.org/10.1016/j.eswa.2020.113406
https://doi.org/10.1016/j.eswa.2020.113406