Navegando por Autor "LEITE, J. C"

Filtrar resultados informando as primeiras letras
Agora exibindo 1 - 2 de 2
  • Imagem de Miniatura
    Item
    Métodos de extracción de características en el ECG
    (INSTITUTO DE TECNOLOGIA, 2011) NETO, João Evangelista; SUAREZ-LEON, A. A.; VÁZQUEZ-SEISDEDOS, C. R; LÓPEZ-MORA, N. A; LEITE, J. C; OLIVEIRA, R. C. L.; Rui Nelson Otoni Magno
    The article compares three ECG feature extraction methods (Discrete Cosine Transform - DCT, Principal Component Analysis - PCA, and Kernel PCA) for heartbeat classification using an MLP neural network. Results indicate that Kernel PCA achieves the highest accuracy (98.7%) but with longer execution times, while linear PCA is the fastest but less accurate (93%). The study uses data from the MIT-BIH Arrhythmia Database.
  • Imagem de Miniatura
    Item
    Monitoramento da Produtividade
    (INSTITUTO DE TECNOLOGIA, 2010) FERREIRA, M. S.; LEITE, J. C; LAGO NETO, J. C; JÚNIOR, C. T. C.; Profª. Drª Aline Maria Meiguins de Lima
    The article proposes a productivity monitoring model for an LCD production line, combining the Six Sigma methodology and fuzzy logic. The study was conducted in a company from the Manaus Industrial Hub, showing that the model is effective for measuring and increasing productivity, achieving the company's target of 120%. The integrated approach enabled data-driven decision-making based on quantitative and qualitative inputs, with results validated through computational simulation.