{"id":1241,"date":"2024-02-23T18:56:18","date_gmt":"2024-02-23T18:56:18","guid":{"rendered":"https:\/\/prlalmeida.com.br\/dsbd\/?page_id=1241"},"modified":"2025-11-11T19:55:01","modified_gmt":"2025-11-11T19:55:01","slug":"sobre-nos","status":"publish","type":"page","link":"https:\/\/prlalmeida.com.br\/dsbd\/pt\/sobre-nos\/","title":{"rendered":"Sobre N\u00f3s"},"content":{"rendered":"\t\t
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DATA SCIENCE & BIG DATA<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tPROJETOS<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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SOBRE N\u00d3S
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O Data Science & Big Data<\/strong> \u00e9 um laborat\u00f3rio de pesquisa dentro da Universidade Federal do Paran\u00e1 (UFPR).<\/strong> Situado na interse\u00e7\u00e3o do Departamento de Inform\u00e1tica (DINF) e do Departamento de Estat\u00edstica (DEST), nossa iniciativa colaborativa re\u00fane pesquisadores de ambas as disciplinas para expandir os limites do conhecimento em diversas \u00e1reas de pesquisa, incluindo Aprendizado de M\u00e1quina, Aprendizado Profundo, Modelagem Estat\u00edstica, Prototipagem de Hardware e processamento de fluxos de Big Data.<\/strong><\/p>\n

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NOSSOS PROJETOS
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Conhe\u00e7a alguns dos nossos principais projetos:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\"Este\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\tProjeto MetaPKLot \t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tEste<\/span> projeto tem como objetivo propor novas t\u00e9cnicas que aproveitam o uso de c\u00e2meras para aprimorar a gest\u00e3o automatizada do tr\u00e1fego em cidades inteligentes por meio de aprendizado de m\u00e1quina.\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h1>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n \n
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\n\t\t\t\t\t\"Como\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\tConcept Drifts\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tComo<\/span> podemos adaptar modelos de aprendizado de m\u00e1quina para lidar com mudan\u00e7as?\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h1>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n \n
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\n\t\t\t\t\t\t\tProcessamento de consultas de banco de dados com acelera\u00e7\u00e3o de rede\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t

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\n\t\t\t\t\t\t\tDetectando falhas em redes el\u00e9tricas\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tEste<\/span> projeto tem como objetivo desenvolver um framework para diagn\u00f3stico de falhas em linhas de transmiss\u00e3o por meio de aprendizado de m\u00e1quina.\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h1>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n \n
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\n\t\t\t\t\t\t\tDe Olho nos Corais\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tEste<\/span> projeto monitora a sa\u00fade dos corais diante do estresse clim\u00e1tico e incentiva o compartilhamento de fotos de recifes no Instagram para aprimorar os esfor\u00e7os de monitoramento.\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h1>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n \t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t
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PESQUISAS RECENTES
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Almeida, P. R. L., Oliveira, L. S., Silva Jr, E., Britto Jr, A., Koerich, A., PKLot \u2013 A robust dataset for parking lot classification, Expert Systems with Applications, 42(11):4937-4949, 2015. (pdf<\/a><\/span>)<\/p>\n

Almeida, P. R. L., Alves, J. H., Oliveira, L. S., Hochuli, A. G., Fr\u00f6hlich, J. V., & Krauel, R. A. Vehicle Occurrence-based Parking Space Detection. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). (<\/span>pdf<\/a><\/span>)<\/span><\/p>\n

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Ceschin, F., Botacin, M., Gomes, H. M., Pinag\u00e9, F., Oliveira, L. S., & Gr\u00e9gio, A. (2023). Fast & Furious: On the modelling of malware detection as an evolving data stream. Expert Systems with Applications, 212, 118590. (pdf<\/a><\/span>)<\/p>\n<\/div>\n<\/div>\n

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Pena, E. H., de Almeida, E. C., & Naumann, F. (2021). Fast detection of denial constraint violations.\u00a0Proceedings of the VLDB Endowment<\/i>,\u00a015<\/i>(4), 859-871. (pdf<\/a><\/span>)<\/p>\n<\/div>\n<\/div>\n

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Santos, S., Kepe, T. R., & Alves, M. A. Improved Computation of Database Operators via Vector Processing Near-Data. In\u00a02023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)<\/i>. (pdf<\/a><\/span>)<\/p>\n

Ribas, M. E. M., Mendes, H. B., Oliveira, L. E. S., Zanlorensi, L. A., Almeida, P. R. L. Using Deep Neural Networks to Quantify Parking Dwell Time. In\u00a02024 IEEE 23th International Conference on Machine Learning and Applications. <\/i>(pdf<\/a><\/span>)<\/span><\/p>\n<\/div>\n

Alves, P. L., Hochuli, A., Oliveira, L. E., Almeida, P. R. L. Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers. In\u00a02024 IEEE 23th International Conference on Machine Learning and Applications. <\/i>(pdf<\/a><\/span>)<\/span><\/p>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\u00c1REAS DE INTERESSE
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Aprendizado de M\u00e1quina<\/h3>

A aprendizagem de m\u00e1quina \u00e9 um campo da intelig\u00eancia artificial onde sistemas s\u00e3o projetados para aprender e melhorar a partir da experi\u00eancia sem serem explicitamente programados. Envolve algoritmos que permitem aos computadores identificar padr\u00f5es, fazer previs\u00f5es e aprender com dados para realizar tarefas<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Processamento de Stream<\/h3>

Processamento de stream refere-se \u00e0 an\u00e1lise em tempo real e ao tratamento de fluxos cont\u00ednuos de dados. Envolve a ingest\u00e3o, processamento e an\u00e1lise de dados conforme s\u00e3o gerados, permitindo insights e a\u00e7\u00f5es imediatas<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Redes Neurais Profundas<\/h3>

Redes neurais profundas s\u00e3o redes neurais artificiais complexas com m\u00faltiplas camadas que aprendem padr\u00f5es intricados a partir de dados sem exigir engenharia de caracter\u00edsticas. Elas s\u00e3o h\u00e1beis em reconhecer caracter\u00edsticas e t\u00eam sido altamente bem-sucedidas em tarefas como reconhecimento de imagens e processamento de linguagem<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Cidades Inteligentes<\/h3>

Cidades inteligentes integram tecnologia e dados para melhorar a qualidade de vida dos residentes e aprimorar as opera\u00e7\u00f5es da cidade. Elas utilizam sensores interconectados, dispositivos IoT, an\u00e1lise de dados e intelig\u00eancia artificial para otimizar diversos aspectos como transporte, uso de energia, gest\u00e3o de res\u00edduos, seguran\u00e7a p\u00fablica e sustentabilidade geral<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Processamento de Imagem e Classifica\u00e7\u00e3o<\/h3>

Processamento de imagem \u00e9 a manipula\u00e7\u00e3o e an\u00e1lise de imagens para aprimorar ou extrair informa\u00e7\u00f5es \u00fateis. Inclui tarefas como filtragem, aprimoramento e transforma\u00e7\u00e3o de imagens. Classifica\u00e7\u00e3o de imagem, um subconjunto do processamento de imagem, concentra-se em categorizar imagens em classes ou categorias predefinidas usando algoritmos de aprendizado de m\u00e1quina<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Hardware<\/h3>

Hardware refere-se aos componentes f\u00edsicos de um sistema de computador ou dispositivo eletr\u00f4nico. N\u00f3s focamos em prototipagem de hardware com prop\u00f3sitos especializados, como incluir instru\u00e7\u00f5es vetoriais na mem\u00f3ria para tornar o processamento de dados mais r\u00e1pido<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

DATA SCIENCE & BIG DATA PROJETOS SOBRE N\u00d3S___ O Data Science & Big Data \u00e9 um laborat\u00f3rio de pesquisa dentro […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"site-sidebar-layout":"right-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-1241","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/prlalmeida.com.br\/dsbd\/wp-json\/wp\/v2\/pages\/1241","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prlalmeida.com.br\/dsbd\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/prlalmeida.com.br\/dsbd\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/prlalmeida.com.br\/dsbd\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prlalmeida.com.br\/dsbd\/wp-json\/wp\/v2\/comments?post=1241"}],"version-history":[{"count":49,"href":"https:\/\/prlalmeida.com.br\/dsbd\/wp-json\/wp\/v2\/pages\/1241\/revisions"}],"predecessor-version":[{"id":2409,"href":"https:\/\/prlalmeida.com.br\/dsbd\/wp-json\/wp\/v2\/pages\/1241\/revisions\/2409"}],"wp:attachment":[{"href":"https:\/\/prlalmeida.com.br\/dsbd\/wp-json\/wp\/v2\/media?parent=1241"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}