• Detecção de defeitos em tecidos através de redes neurais convolucionais 

      Souza, Lucas Candiani (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 03/05/2022)
      This work aims to apply transfer learning to a detector based on convolutional neural networks to identify defects and patterns through tissue images. With Industry 4.0, intelligent systems are increasingly being applied ...
    • 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 ...