Browsing by Author "Jesus, Arnaldo Bispo de"
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Item Detecção de alterações na paisagem da orla atlântica de Salvador-BA utilizando a metodologia de classificação pixel a pixel em imagens google(Universidade Católica do Salvador, 2018-10) Santana, Isabel Pires de; Jesus, Arnaldo Bispo de; UCSAL, Universidade Católica do SalvadorItem Detecção de catarata por meio de imagens utilizando redes neurais convolucionais(Universidade Católica do Salvador, 2020-12-11) Carneiro, Hugo Vinícius; Santos, Lucas Pereira; Wyzykowski, André Brasil Vieira; http://lattes.cnpq.br/; Jesus, Arnaldo Bispo de; http://lattes.cnpq.br/; Assis, Semiramis Ribeiro de; http://lattes.cnpq.br/Cataract is one of the diseases of the eyeball that generates the most blindness in the world. The rapid detection of this disease, close to the appropriate treatment, contributes to the improvement of the patients’ quality of life. This work uses convolutional neural networks to train three sets of data containing images of different patients, in order to classify cataract patients and non-carriers. For this, a convolutional neural network vgg19 had its architecture modified and improved. The most successful results used by the network, was an accuracy of 100 %.Item Detecção de Covid-19 em imagens radiológicas torácicas através da rede neural convolucional (RNC)(Universidade Católica do Salvador, 2020-12-11) Santana, Saulo de Andrade; Wyzykowski, André Brasil Vieira; http://lattes.cnpq.br/; Jesus, Arnaldo Bispo de; http://lattes.cnpq.br/; Borges, Fernando Cezar Reis; http://lattes.cnpq.br/The new Covid-19 pandemic, the new coronavirus (SARS-CoV-2), has caused many problems in several areas of society. Among these problems, the high number of tests carried out, and the lack of tests, especially in small cities, stands out efficiently. Consid- ering this insufficient resource in the identification of Covid-19, the objective of this work was to propose a solution, in an experimental study, to enable the detection of the new virus using the images of chest radiological medical examinations, which have facilitators in their realization, such as cost and availability, with the help of an Artificial Intelligence, more specifically the Convolutional Neural Network (RNC), which they are usually used to analyze images. The work consisted of its own architecture and a set of 16,500 im- ages separated into 3 classes (Normal, Covid-19 and Pneumonia), and the results of the RNC were analyzed and took place on the accuracy of the network algorithms in image recognition disorders, which is higher than 80 %. The technique proved to be promising in meeting this demand, in an experimental context. Therefore, it can be indicated as a complementary instrument in medical diagnosis in the health system for its efficacy and effectiveness, in addition to the benefits and ease for its implementation, however more tests are carried out, with a set of wide variables.Item Planejamento tributário de uma clínica médica na cidade no Município de Salvador: um estudo comparativo simples nacional X lucro presumido(Universidade Católica do Salvador, 2021-12-06) Costa, Jairan José dos Santos; Souza, Marcos Suel Lima; http://lattes.cnpq.br; Jesus, Arnaldo Bispo deItem Programação segura em ambiente linux(Universidade Católica do Salvador, 2004-10) Jesus, Arnaldo Bispo de; Souza, Josemar Rodrigues de; UCSAL, Universidade Católica do SalvadorItem Universidades inteligentes, projeto Smart UCSAL: mapeando e compartilhando alvos de interatividade no campus de Pituaçu, Salvador-BA(Universidade Católica do Salvador, 2018-10) Jesus, Arnaldo Bispo de; Pereira, Júlia Silva; Santiago, Thalita Emanuele Teixeira; UCSAL, Universidade Católica do SalvadorItem O uso de data augmentation como técnica para o aprimoramento de redes neurais a fim de detectar notícias falsas sobre a COVID-19(Universidade Católica do Salvador, 2021-06-11) Oliveira Júnior, Wilton Silva; Cruz, Maurício Sena da; Wyzykowski, André Brasil Vieira; http://lattes.cnpq.br/; Jesus, Arnaldo Bispo de; http://lattes.cnpq.br/; Pereira, Mário Jorge; http://lattes.cnpq.br/This paper aims to present how the application of Natural Lan- guage Processing (NLP) and data augmentation techniques can improve the performance of a neural network for better detection of fake news in the Portuguese language. Fake news is one of the main controversies during the growth of the internet in the last decade. Verifying what is fact and what is false has proven to be a difficult task, while the dissemination of false news is much faster, which leads to the need for the creation of tools that, automated, assist in the process of verification of what is fact and what is false. In order to bring a solution, an experiment was developed with neural network using news, real and fake, which were never seen by artificial intelligence (AI). There was a significant performance in the news classification after the application of the mentioned techniques.Item Utilização de geotecnologias para criação de áreas operacionais de segurança pública para Lauro de Freitas/Ba(Universidade Católica do Salvador, 2015-10) Rodrigues, Anderson dos Santos; Santos Junior, Juvenal Lima dos; Barbosa, Yuri Barros; Rocha, Washington de Jesus Sant'Anna da Franca; Carvalho, Silvana Sá de; Jesus, Arnaldo Bispo de; UCSAL, Universidade Católica do Salvador