Browsing Cursos de Graduação by Subject "Séries temporais"

Now showing items 1-8 of 8

    • Análise de séries temporais multivariadas via Wavelet 

      Mori, Matheus Kengi (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 24/08/2023)
      After the mid-1980s, wavelet theory quickly spread to many fields. Although wavelet analysis has the ability to decompose data into various time scales and to deal with nonstationary data and time location, this methodology ...

    • Análise comparativa entre técnicas de aprendizado de máquina aplicadas para a predição de preços de produtos hortifrutícolas 

      Godinho, Rodrigo Lemos (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/08/2023)
      Family farming is characterized as any form of land cultivation managed by a family, employing its own members as the main labor force. Most agricultural establishments in Brazil fit this definition, however, the area ...

    • Predição de carga de energia elétrica no Brasil utilizando técnicas de Deep Learning 

      Cunha, Leticia Amaral da (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 ...

    • Estudo e comparação das técnicas de validação cruzada desenvolvidas para séries temporais 

      Simionato, Daniel (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)
      Testing the generalization capacity of an algorithm obtained is crucial for any prediction methodology, for which cross-validation methods were developed. However, when dealing with data that have dependency among observations, ...

    • Modelo de Séries Temporais Autorregressivo Periódico - PAR 

      Cavalaro, Natália Leite (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/06/2021)
      This work presents the study of a type of time series model, called of periodic autoregressive model, which emerged from the researches of Thomas and Fiering (1962), according to Hipel and McLeod (1994). Its use is mainly ...

    • Um estudo sobre wavestrap 

      Gremes, Kaê da Silva (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/06/2021)
      Wavelets are basis of function spaces that can be used to represent both continuous (functions) and discrete (sequences) signals; wavelets study gained great notoriety after the work of Daubechies, who developed a wavelet ...

    • Efeitos da Lei Maria da Penha na Região Sudeste 

      Oliveira, Amanda Torres de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 11/12/2020)
      In Brazil, records of domestic violence and femicide are considered very high and represent one of the most expressive forms of violence in the country. It is of interest to investigate the behavior of these registered ...

    • Estudo do teste SNHT (Standart Normal Homogeneity Test) para detecção de pontos de mudança em séries temporais 

      Chianezzi, Giovanna Garutti (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/06/2021)
      The study of time series is extremely important for a better understanding how certain events develop over time. To do this, be able to to indicate the exact moment when a given phenomenon changes its pattern of behavior ...