A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors
| Data de Publicação: | 2020 |
|---|---|
| Tipo de documento: | Dissertação |
| Título da fonte: | Portal de Dados Abertos da CAPES |
| Texto Completo: | <a href="https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9346207"/> |
| id |
BRCRIS_cc32729aabb8ec656ea174aa3ad2e71f |
|---|---|
| network_acronym_str |
CAPES |
| network_name_str |
Portal de Dados Abertos da CAPES |
| dc.title.pt-BR.fl_str_mv |
A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors |
| title |
A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors |
| spellingShingle |
A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors Automotive Sensors Sensores Automotivos |
| title_short |
A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors |
| title_full |
A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors |
| title_fullStr |
A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors |
| title_full_unstemmed |
A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors |
| title_sort |
A Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic Sensors |
| topic |
Automotive Sensors Sensores Automotivos |
| publishDate |
2020 |
| format |
masterThesis |
| url |
<a href="https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9346207"/> |
| author_role |
author |
| dc.contributor.advisor1.fl_str_mv |
Eduardo Parente Ribeiro |
| dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9942424708912746 |
| dc.contributor.advisor1orcid.por.fl_str_mv |
https://orcid.org/000000028276528X |
| dc.publisher.none.fl_str_mv |
UNIVERSIDADE FEDERAL DO PARANÁ |
| publisher.none.fl_str_mv |
UNIVERSIDADE FEDERAL DO PARANÁ |
| instname_str |
UNIVERSIDADE FEDERAL DO PARANÁ |
| dc.publisher.program.fl_str_mv |
ENGENHARIA ELÉTRICA |
| dc.description.course.none.fl_txt_mv |
ENGENHARIA ELÉTRICA |
| reponame_str |
Portal de Dados Abertos da CAPES |
| collection |
Portal de Dados Abertos da CAPES |
| spelling |
CAPESPortal de Dados Abertos da CAPESA Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic SensorsA Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic SensorsA Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic SensorsA Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic SensorsA Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic SensorsA Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic SensorsA Deep Learning Approach for Emergency Vehicles Classification and Localization using Acoustic SensorsAutomotive Sensors2020masterThesis<a href="https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9346207"/>authorEduardo Parente Ribeirohttp://lattes.cnpq.br/9942424708912746https://orcid.org/000000028276528XUNIVERSIDADE FEDERAL DO PARANÁUNIVERSIDADE FEDERAL DO PARANÁUNIVERSIDADE FEDERAL DO PARANÁENGENHARIA ELÉTRICAENGENHARIA ELÉTRICAPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES |
| _version_ |
1741890801566220288 |