Mostrando ítems 6-10 de 104

    • Neuro-fuzzy systems for daily solar irradiance classification and PV efficiency forecasting 

      Gersnoviez, Andrés; Gámez Granados, Juan Carlos; Cabrera-Fernández, Marta; Santiago, Isabel; Cañete-Carmona, Eduardo; Brox-Jiménez, María (Elsevier, 2023)
      Considering the impact of photovoltaic installations and the fact that their performance depends on the type of day, this paper presents a classifier that makes use of fuzzy logic to classify daily irradiance profiles as ...
    • An IoT barrel bung to monitor evolution wine elaborated under biological aging 

      Cañete-Carmona, Eduardo; Gallego-Martínez, Juan-José; Yousef-Jiménez, Laila; Ruiz Flores, Alberto; Gersnoviez, Andrés; Moreno, Juan (Elsevier, 2022)
      Wine aging is a crucial step in the elaboration of special and high quality wines as the sherry and like-sherry type wines are. Some of these wines remain in oak barrels during a long time period, subjected to the ...
    • Rule simplification method based on covering indexes for fuzzy classifiers 

      Gersnoviez, Andrés; Batunore, Iluminada (IEEE, 2021)
      A large number of rules increases the complexity of fuzzy classifiers and reduces the linguistic interpretability of the classification. A tabular rule simplification method that extends the Quine-McCluskey algorithm of ...
    • Development of a wireless low power datalogger with high performance converter 

      Quiles-Latorre, Francisco Javier; Ortiz, Manuel; Gersnoviez, Andrés; Brox-Jiménez, María; Olivares, Alberto; Glösekötter, Peter (Kaunas University of Technology, 2015)
      In this work, a low power datalogger with a wireless connection is described. The datalogger can be used as a portable and stand-alone device, as well as a wireless sensor network node. A flexible architecture, which ...
    • Neuro-fuzzy techniques to optimize an FPGA embedded controller for robot navigation 

      Batunore, Iluminada; Gersnoviez, Andrés; Barriga, Ángel (Elsevier, 2014)
      This paper describes how low-cost embedded controllers for robot navigation can be obtained by using a small number of if-then rules (exploiting the connection in cascade of rule bases) that apply Takagi–Sugeno fuzzy ...