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Classificação hierárquica multirrótulo de funções de proteínas via predição de interações
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 26/06/2020)Proteins are macro-molecules responsible for virtually every task necessary for the maintenance of cells, having a fundamental role in the behavior and regulation of organisms. Advances in the area of Molecular Biology ... -
Desenvolvimento de sistema de monitoramento IoT para rios urbanos de fácil implantação e baixo custo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 02/07/2020)The phenomenon of urbanization in Brazil has triggered - not only alone, but in conjunction with other factors - the housing occupation of areas of riverside floodplain in a disorderly manner. Such occupations, however, ... -
Uma análise comparativa de desempenho entre diferentes tecnologias de execução de aplicações web do lado do servidor
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 14/12/2020)This work compares the performance of native applications against applications to be executed by execution systems. The applications were built with two frameworks meant for server-side application development with Java: ... -
Desenvolvimento e validação de módulo de comunicação MQTT para a plataforma BIPES para aplicações de internet das coisas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/12/2020)A current trend is towards the adoption of alternative no-code programming methods, which allows the development of programs without writing even a line of code or knowing a programming language. One approach is to use ... -
Investigação de abordagens híbridas para sistemas de recomendação implícitos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/12/2020)This project deals with the investigation of implicit recommender systems, in relation to the accuracy and versatility of the systems, and of the hybridization as a tool to improve these performance metrics. Databases of ... -
Um estudo de redes neurais recorrentes no contexto de previsões no mercado financeiro
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 17/12/2020)Financial time series forecasting is one of the most researched artificial intelligence applications by financial market analysts, both in the academic and corporate world. Within this area, there is a great emphasis on ... -
Uma análise do aplicativo Moodle Mobile para pessoas com deficiência visual
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/01/2021)Due to the rapid evolution in the efficiency and the popularity of mobile devices, these devices have become essential for the daily lives of most people. In this context, accessibility tools and techniques must follow ... -
Um Estudo Sobre Medidores Inteligentes de Energia
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 13/01/2021)The world electricity sector is undergoing a major revolution thanks to the birth and implementation of so-called Smart Grids or Intelligent Energy Grids. This revolution is centered on the massive and active use of ... -
Emoweb-k: extensão de um plugin para adaptar interfaces de usuário na web considerando emoções
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/06/2021)Emotions are an important aspect of the user experience when using a system. In the literature, there are works that propose systems that change as user interfaces (UI) considering emotions, taking into account what is ... -
Filtro stateless a 10G definido em Bluespec e implementado em FPGA
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/06/2021)One of the pillars of cybersecurity is the principle of isolation, and one of the main ways to apply this principle to networks with globally routable addresses is packet filtering. With the increasing bandwidth consumed ... -
Incorporando correlações entre exemplos para classificação multirrótulo via espaço de classes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/06/2021)Multi-label classification is a machine learning task where instances can be classified into two or more labels simultaneously. In this task, there exist correlations between the instances belonging to same or similar sets ... -
Análise de polaridade e de tópicos em tweets no domínio da política no Brasil
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 14/10/2021)The political scenario in Brazil is one of the busiest and most controversial in the last decade. With the advent of social networks, a new communication channel between voters and politicians was created, with users having ... -
Perceptions of Brazilian college students about ethics in computer-based data collection and interventions for mental health
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 10/11/2021)Many college students worldwide exhibited bad symptoms of mental health conditions. In Brazil, the indicators are particularly alarming. Computing technologies have been investigated as possible support in this scenario. ... -
Aprendizado não supervisionado de métricas via redução de dimensionalidade para reconhecimento de dígitos numéricos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/11/2021)Character recognition is a task that has occurred since the last century and is still a problem to be solved nowadays. One of the challenges is that the characters to be classified are images, therefore, they have many ... -
Mapeamento isométrico de atributos baseado em geometria diferencial para aprendizado de métricas não supervisionado
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/11/2021)The act of representing a dataset in a way that’s more compact and significant is denominated dimensionality reduction. The capacity of building adaptive distance functions to each dataset before classification is known ... -
Utilização de agrupamento como método de pré-processamento em problemas de regressão linear
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 19/11/2021)For real-world data to be explored, pre-processing is needed in order to ease machine learning applications. Nowadays, various pre-processing techniques are available, and this paper aims to show the impacts of using ... -
Árvore de predição semi-supervisionada para predição de localização subcelular de proteínas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 19/11/2021)Protein subcellular localization is a really important classification task, because the location of proteins inside a cell is directly related to these protein’s functions. As there are a lot of proteins that reside at the ... -
Análise comparativa entre algoritmos de agrupamento e de detecção de comunidades em redes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/11/2021)Clustering is one of the most notorious Machine Learning techniques and has an infinite number of practical applications in different areas of knowledge. Understanding the types of approaches and their characteristics is ... -
Avaliação de métodos de construção de redes na classificação semi-supervisionada de textos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 23/11/2021)Due to the shear amount of data produced daily in text format, being it publicly on social media or privately inside enterprises, there is a growing need to analyze and extract information from them. The objective is to ... -
Detecção e análise de assimetrias estruturais hipocampais em imagens de ressonância magnética aplicadas ao auxílio ao diagnóstico do Alzheimer
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 13/04/2022)Alzheimer’s disease (AD) is the main cause of dementia and affects more than 30% of population older than 85 years old. As the elderly population increases, AD has become a relevant public health problem. However, the ...