Mostrando ítems 11-15 de 126

    • Automatic extraction of linguistic models for image description 

      Baturone, Iluminada; Gersnoviez, Andrés (IEEE, 2010)
      This paper describes a methodology to extract fuzzy models that describe linguistically the low-level features of an image (such as color, texture, etc.). The methodology combines grid-based algorithms with clustering and ...
    • Electricity demand during pandemic times: The case of the COVID-19 in Spain 

      Santiago, Isabel; Moreno Muñoz, Antonio; Quintero-Jiménez, Pedro; García Torres, Félix; González Redondo, Miguel Jesús (Elsevier, 2020)
      Electricity demand and its typical load pattern are usually affected by many endogenous and exogenous factors to which the generation system must accordingly respond through utility operators. Lockdown measures to prevent ...
    • An automated design flow from linguistic models to piecewise polynomial digital circuits 

      Baturone, Iluminada; Sánchez-Solano, Santiago; Gersnoviez, Andrés; Brox-Jiménez, María (IEEE, 2010)
      This paper describes how the different CAD tools of the environment Xfuzzy 3, developed in Microelectronics Institute of Seville and University of Seville, allow to translate expressive linguistic models into mathematical ...
    • A simple neuro-fuzzy controller for car-like robot navigation avoiding obstacles 

      Baturone, Iluminada; Gersnoviez, Andrés (IEEE, 2007)
      This paper describes how the combination of neuro-fuzzy techniques with geometric analysis offers a good trade-off between purely heuristics and purely physical approaches when solving the problem of car-like robot navigation. ...
    • A CAD approach to simplify fuzzy system descriptions 

      Baturone, Iluminada; Moreno-Velo, Francisco J.; Gersnoviez, Andrés (IEEE, 2006)
      Simplification is an important step in the design of a fuzzy system since the membership functions that represent the fuzzy sets as well as the 'if-then' rules that relate them usually contain redundant information. This ...