Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,

Detalhes bibliográficos
Data de Publicação: 2019
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7949223
id BRCRIS_d0779a2995c5537c13fb9a4235569c2d
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,
title Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,
spellingShingle Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,
Visão Computacional
Machine Learning. Computer Vision.
title_short Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,
title_full Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,
title_fullStr Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,
Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,
title_full_unstemmed Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,
Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,
title_sort Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,
topic Visão Computacional
Machine Learning. Computer Vision.
publishDate 2019
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7949223
author_role author
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE PELOTAS
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE PELOTAS
instname_str UNIVERSIDADE FEDERAL DE PELOTAS
dc.publisher.program.fl_str_mv Computação
dc.description.course.none.fl_txt_mv Computação
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESDengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,Dengue Incidence Rate Estimation Using Aerial and Street-level Urban Imagery with Deep Learning Models Virginia Ortiz Andersson Pelotas,Visão Computacional2019doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7949223authorUNIVERSIDADE FEDERAL DE PELOTASUNIVERSIDADE FEDERAL DE PELOTASUNIVERSIDADE FEDERAL DE PELOTASComputaçãoComputaçãoPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
_version_ 1741890582816489472

Registros relacionados