Navegando por Autor "Martins, Gilbert Breves"

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Análise de sentimentos no comércio online utilizando bertimbau para o português brasileiro
(2024-03-19) Diniz , Paulo Henrique Barros; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0650250324042531; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0650250324042531; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Martins, Gilbert Breves
The digitalage,withitsrisinge-commerce,hastransformedthewayconsumersandbusinesses interact. Whileonlineshoppingoffersconvenienceandspeed,ithasalsocreatedaphysical barrier betweenconsumersandbusinesses.Thishasledtoagrowingneedforeffectivedigital communication methods.Onlinereviewshavebecomeanessentialtoolinthisprocess,acting as afeedbackbridgebetweenconsumersandbusinesses.Theopinionssharedonlinecarry considerable weight,directlyinfluencingthepurchasedecisionsofotherconsumers.Moreover, these commentsprovidevaluableinsightsforbusinessestoimprovetheirproductsandservices. Tomitigatethisdistancing,e-commerceplatformsencouragethesharingofopinionsandfeelings of usersaboutproducts,whichsignificantlyimpactsthepurchasingdecisionsofotherconsumers and providesvaluablefeedbackforbusinesses.Facedwiththevastquantityandvarietyof comments, thechallengeofanalyzingthemefficientlyarises.TheBERTimbaumodelemerges as asolution,offeringautomatedsentimentanalysisinBrazilianPortuguese.Experimental results demonstratetheeffectivenessofthemodel,withaccuraciesrangingbetween75%to88% depending onthecategorizationofsentimentsandtreatmentof3-starreviews.
Uma análise dos estudos científicos brasileiros sobre armazenagem de materiais disponíveis no Google acadêmico no ano de 2023
(2024-07-05) Viana, Eliane Pereira; Martiniano, Alexandre Lopes; Martins, Gilbert Breves; Silva, Daniel Nascimento e
Purpose: This study aimed to analyze the scientific productions on storage in the Google Scholar database in 2023. Theoretical Structure: The study's theoretical structure focused on the conceptual and operational aspects of the storage process in its various dimensions and analytical categories, enabling the understanding of the main aspects of the national scientific production published in Brazilian journals, platforms, and repositories on storage. Design/Methodology/Approach: The conceptual bibliographic method was used in its four stages: the formulation of research questions, with exclusion criteria and appropriate response standards, data collection in scientific databases, organization of data in figures and other diagrammatic schemes where the responses generated can be visualized, and presentation of the results in specific communication products for evaluation by the scientific community. Findings: The results showed that a) the most frequently discussed topics in the publications were storage, storage, and specific aspects of stored materials, b) theoretical-empirical studies were predominant, c) several different methods were used to generate the findings, with the experimental method prevailing, d) most of the studies aimed to apply the knowledge generated, e) only one-third of these publications were in journals and proceedings of scientific events. Research, Practical, and Social Implications: The findings show that Brazilian journals and scientific communities prioritize theoretical-empirical studies, especially those that have the potential to be transformed into techniques and technologies. The implications are much more impactful if the production is geared towards agribusiness. Originality/Value: The study shows the theoretical-empirical trend of research on storage, mainly because it is primarily carried out by engineering areas, which seek to solve problems that the agribusiness industry has faced in its challenges of increasing the efficiency of its production process combined with the increasing quality of its products
Analysis of the reuse of tires in synthetic grass in Manaus from the perspective of the reverse logistics process
(2024-09-01) Barbosa, Thielsse de Araújo; Tino, Cláudio Fernandes; Martins, Gilbert Breves; Claro Júnior, Luiz Henrique; Oliveira, Elisângela Leitão de; Soares, Márison Luiz; Nascimento-e-Silva, Daniel
Prevenção contra deepfakes: desenvolvimento de um sistema de reconhecimento facial para diferenciar rostos humanos de rostos gerados por IA
(2024-03-19) Silva, Romão Charles Silva e; Santos, Alyson de Jesus dos Santos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Martins, Gilbert Breves; http://lattes.cnpq.br/4932200790121123; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0682962508867807
This work aims to develop a system based on machine learning that differentiates images of people generated by artificial intelligence from real people, a capability that can be very useful for identifying scams that use generated images. The development of the project was done in 3 main steps: data organization, training and testing. The system was entirely made in Google Colab, therefore, it used Python and the main development tool Tensorflow, two models were trained, one of which has almost twice as many images used for training, with the intention of observing the consequences of using a larger set. At the end of the project, the quantitative and qualitative results of the image classification are shown.