Engenharia de Computação - EC
Envíos recientes
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Novos métodos para determinar a qualidade da representação quiral em modelos baseados em GNN
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 10/09/2024)How do graph neural networks, especially models such as SphereNet and ChIRo, in- corporate the perception of molecular chirality? This study aimed to analyze and evaluate the capacity of graph neural networks to incorporate ... -
Study and quality evaluation of LLM’s generated unit test sets for C Programs
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 04/10/2024)As technology becomes more integrated into our daily routines, reliable software becomes increasingly critical. However, the high cost of manual test generation often leads developers to neglect software quality concepts. ... -
Estudo comparativo entre replicação e erasure coding no armazenamento de dados em nuvem
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 05/09/2024)The amount and diversity of digitally generated data has increased exponentially, leading to the increasing use of cloud storage services due to their scalability, high performance, and convenience. However, storing large ... -
Desenvolvimento seguro em plataformas de fantasy game: InterREP manager
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2024)This work addresses the development of a front-end web application for the InterREP tournament's fantasy game, focusing on user experience and information security. The application interface was designed following Nielsen's ... -
Um estudo sobre testes Flaky em projetos Python
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2024)Understanding the behavior of automated tests is crucial for improving software development practices. This study focuses on investigating the incidence of flaky tests in Python projects. The research involved analyzing ... -
Regressão multi alvo via agrupamento hierárquico das variáveis dependentes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2024)Multi-target regression is a crucial technique in machine learning, applied to problems where multiple dependent variables need to be predicted simultaneously. In this work, a new approach is proposed that utilizes ... -
Clusterização de dados no mercado de crédito privado: a influência das passagens entre fundos de investimento
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 02/09/2024)The main objective of this work is to analyze the impact of Transfer Procedures operations in the secondary market of fixed income for local corporate bonds, focusing on the PEJA11 debenture. For this purpose, a pattern ... -
Adaptação dos algoritmos ROCKET e MiniRocket para classificação de tumores cerebrais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 04/09/2024)One of the main methods of brain tumor diagnosis is the magnetic resonance imaging of a patient’s head. Identifying a tumor’s type using those images is important for its adequate treatment, and one of the most relevant ... -
Análise da conectividade e resiliência de redes complexas formadas por neurônios
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/08/2024)The computational study of biological neural networks involves using real properties of neurons to simulate the dynamics of neuronal cells. Although recent neuroscience studies investigate the relationship between neurons ... -
Rede Blockchain para rastreabilidade de queijos artesanais no Brasil utilizando Hyperledger Fabric
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 13/08/2024)The artisanal cheese market in Brazil presents a promising and growing scenario, with an estimated revenue of US$10 million in 2021 and an annual growth projection rate of 2.04% until 2025, according to Sebrae - SC. ... -
Um framework conceitual para a seleção de sensores móveis para fenotipagem digital de estudantes com possível perfil depressivo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 25/06/2024)This capstone project presents the development of a framework for selecting mobile sensors for the digital phenotyping of university students with possible depressive profiles. Inspired by a seminal study by Torous that ... -
Proposta de uma GAN para geração de moléculas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/01/2024)In the field of biology, molecules play a crucial role, acting as the fundamental building blocks that make up everything around us, from elements like water and air to the intricate structures that make up our own bodies. ... -
Aplicação de Técnicas de Aprendizado de Máquina na Identificação de Marcadores Genéticos para a Doença de Alzheimer
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 01/02/2024)Single nucleotide polymorphism (SNP) is the variation at a single position in the nucleotide chain where DNA is formed. Since it is a genetic alteration, it is of utmost importance for the study of human health. Through ... -
Benchmark de chatbots para o redesign das interfaces conversacionais do projeto Amive
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/01/2024)Major depression is a serious illness that affects more than 15% of the Brazilian population. Among university students, the prevalence is even higher. Researchers from the Amive project, funded by FAPESP, are training ... -
Conectividade e saúde: uma revisão crítica da literatura sobre a inserção da IoT no contexto médico
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 02/02/2024)This work analyzes the implementation of the Internet of Things (IoT) in healthcare, emphasizing its bioethical challenges. It explores how IoT and artificial intelligence are being used in hospitals, highlighting ethical ... -
Agrupamento em conjunto de dados com múltiplos atributos via redução de dimensionalidade e detecção de comunidades
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 01/02/2023)This work falls within the field of Machine Learning and focuses on the challenge of Clustering in datasets with multiple variables. Addressing the issue of the Curse of Dimensionality, a common difficulty in high-dimensional ... -
Análise comparativa entre algoritmos de classificação de gênero musical baseados em diferentes representações visuais e transferência de aprendizado
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 31/01/2024)Organizing and retrieving musical information automatically is a highly demanded activity. Labeling music with information that succinctly describes it has implications for these and other related tasks. One of the most ... -
Análise comparativa de algoritmos de construção de grafos e técnicas de incorporação de palavras na análise de sentimentos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 01/02/2024)Sentiment analysis has become a crucial tool for understanding public perception in various areas, such as marketing, politics, and social media. It allows the extraction of valuable insights from large volumes of text, ... -
Aplicação web para modelo de classificação da qualidade da argumentação em tweets no domínio da política brasileira
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/01/2024)In the contemporary Brazilian political scenario, argumentation on social media platforms, with a particular focus on Twitter (currently known as X), plays a fundamental role in shaping public opinion. Evaluating the quality ... -
Aplicando XAI na comparação de redes neurais e árvores de decisão
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/01/2024)The new focus on artificial intelligence confronts us with a long-standing concern data on such algorithms, the distinction between white-box and black box. This study seeks to explore analysis techniques, known as Explainable ...