• Classificação de placas de trânsito com redes neurais para automação de veículos 

      Bademian, Gustavo Bulka Bonafé (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 09/03/2022)
      This article aims to develop a study on the functioning of Convolutional Neural Networks in the classification of traffic signs for use in autonomous cars, thus being able to be used as a tool to aid the vehicle in the ...
    • Previsão do preço do café utilizando redes neurais 

      Araujo, Leonardo Marinzek (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 27/09/2022)
      The present article aims to develop a study on the functioning of Multi-Layer Neural Networks, in order to predict the price of coffee, based on certain climatic conditions. In this way, it can be used as an aid tool at ...
    • Detecção e identificação de doenças em folhas utilizando redes neurais 

      Carmo, Cassio Cioni (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2023)
      In this study, an approach using neural networks for the detection and classification of diseases in soybean leaves based on images was explored. The main objective of the research was to develop a model capable of ...
    • Algoritimo de detecção de retinopatia diabética baseado em aprendizado de máquina 

      Reis, Leonardo Patrocínio dos (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/04/2023)
      In this study, the application of neural network and machine learning techniques was explored in order to identify the presence of lesions related to diabetic retinopathy (DR) in fundus images. DR is a frequent complication ...
    • Classificação de imagens de satélite com redes neurais convolucionais 

      Magiri, Danilo Sampaio (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/04/2023)
      Satellite images are used in several areas, such as agribusiness, urban planning, environmental monitoring, among others. These images have a large and complex amount of data and the application of Machine Learning techniques ...