TCC
Recent Submissions
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Sistema automático de irrigação autônomo de baixo custo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 31/08/2023)This work aims to develop a low-cost automated irrigation system. The system employs an Arduino and sensor to continuously monitor soil moisture levels. When soil moisture reaches a predefined threshold, an irrigation ... -
Solução de comunicação de baixo custo utilizando LoRa e ESP32
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 31/08/2023)This work deals with the evaluation of the average range of a local communication network with the LoRa protocol based on low-cost generic hardware and the establishment of its possible applications. A secondary objective ... -
O uso de CMSs na construção de MVPs
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/08/2023)Early-stage startups need to collect costumer opinions about the offered solution in a short time stamp, so they can adapt to the high competitiveness of the market. In that context, Minimum Valuable Products (MVP’s) are ... -
Análise de algoritmos de construção de grafos em conjuntos de dados de alta dimensionalidade
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/08/2023)The rapid development and adoption of information technologies, such as the internet, have resulted in an explosion in data generation, significantly increasing the volume of new instances with various attributes. The vast ... -
Acessibilidade de leitura para cegos com o projeto Celta numa Raspberry PI
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 31/08/2023)Braile reading is fundamental to include visually impaired people in the access to information, it‘s a type of literacy and communication able to include everyone in society allowing then access to knowledge and culture. ... -
Glycos – Sistema IoT de monitoramento de glicemia e auxílio à prevenção e ao tratamento da Diabetes Mellitus
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/08/2023)Around 16.8 million according to the research done by the Internation Diabetes Federation. With this meaningful number in mid and utilizing concepts of Internet of Things (IoT) a device capable of measuring capillary ... -
Análise de metodologias e estratégias de testes de API rest: um estudo de caso
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/08/2023)The present work aims to present an analysis of API testing types, their characteristics, and the importance of these tests to ensure API quality. In addition, the concept of Behavior-Driven Development (BDD) and how it ... -
An initial investigation of ChatGPT unit test generation capability
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/08/2023)Software testing plays a crucial role in ensuring the quality of software, but developers often disregard it. The use of automated testing generation is pursued with the aim of reducing the consequences of overlooked test ... -
NFT (non-fungible token) como utility toke: um estudo de caso
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 31/08/2023)Utility tokens are any digital asset that has a benefit attached to it, whether physical or digital, in addition to its speculative value. Benefits can include access to a certain group of services, participation in prize ... -
Segmentação de lesões de esclerose múltipla utilizando clusterização iterativa em imagens estruturais de ressonância magnética
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/08/2023)Multiple Sclerosis (MS) is a neurodegenerative disease that causes vision, mobility and memory problems, which can lead the patient to serious locomotion difficulties. It is caused by damage to the myelin sheath. Analysis ... -
Aprendizado multilíngue e multimodal para o português do Brasil
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/08/2023)This work explores the domain of multimodal machine translation, which is a process that combines information from different modalities – such as text, images, and audio – to perform translations between languages. Thus, ... -
Investigação de métodos de seleção de atributos para problemas de classificação hierárquica multirrótulo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/04/2023)Classification is the task of assigning data instances to classes. In Hierarchical Multi- label Classification, instances may belong to two or more classes (labels) simultaneously, where the classes are hierarchically ... -
Classificação de decisões judiciais sobre dados presentes no diário eletrônico da justiça do trabalho (DEJT)
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/03/2023)Efficiently classifying legal decisions as approved or rejected is critical to ensuring a fair and effective justice system. This study presents a solution for this task, using machine learning techniques. The proposed ... -
Criação de Blocos para conexão com banco de dados MySQL no Block-Based Integrated Platform for Embedded Systems (BIPES)
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/04/2022)The no-code development trend, also known as no-code or low-code, has gained popularity for its ability to speed up the development process and allow people with no programming experience to create solutions in a simplified ... -
Análise e aplicações do algoritmo UMAP para classificação e redução de dimensionalidade de conjuntos de dados com múltiplas variáveis
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/03/2023)Through many real-life applications, gathering information through real instruments subject to noise and imperfections tends to generate datasets where the number of observed variables and components easily exceeds a number ... -
Uso de aprendizado de máquina supervisionado para mensurar provisão no mercado de crédito estruturado: uma comparação entre modelos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 27/03/2023)The credit expansion has been fundamental to global economic growth, allowing people and businesses to access more financial resources for investment and consumption within an increasingly complex and competitive economic ... -
Segmentação de vasos sanguíneos utilizando Redes Neurais Convolucionais: visualização e análise de correlação dos mapas de ativação
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/03/2023)Convolutional neural networks (CNN) are responsible for advancing the automation of tasks in the field of computer vision, with image classification, object recognition and image segmentation, as it is present in different ... -
Implementação de uma arquitetura para minerar regras de associação espaciais a partir de dados espaciais fuzzy
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/09/2022)The use and importance of spatial data have been growing more and more. With the assimilation of the real world, many spatial phenomena are modeled and represented by fuzzy spatial objects, which have blurred interiors, ... -
Predição de carga de energia elétrica no Brasil utilizando técnicas de Deep Learning
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/10/2022)The open electricity market has stood out for being a competitive and dynamic way of trading an asset that was previously restricted to passive consumption. The freedom of negotiation provided to the participants of this ... -
Alocação de carteiras de ações utilizando aprendizado de máquina e regras fuzzy
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/09/2022)Long-term investments through stock portfolios attract the attention of investors, who are looking for simple and effective ways to select stocks to compose a portfolio, as well as find a series of assets that will have ...