Now showing items 1-4 of 4

    • A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle 

      Romero, Juan; Santos-del-Riego, Antonino; Carballal, Adrián; Rodríguez-Fernández, Nereida; Santos, Iria; Torrente-Patiño, Álvaro; Tuñas, Juan; Machado, Penousal (MDPI AG, 2020)
      [Abstract]: RealTimeBattle is an environment in which robots controlled by programs fight each other. Programs control the simulated robots using low-level messages (e.g., turn radar, accelerate). Unlike other tools like ...
    • Image sequence sorting algorithm for commercial tasks 

      Grelier, Guillaume; Casal, Miguel A.; Torrente-Patiño, Álvaro; Romero, Juan (Frontiers Media, 2024-04)
      [Abstract]: Introduction: The sorting of sequences of images is crucial for augmenting user engagement in various virtual commercial platforms, particularly within the real estate sector. A coherent sequence of images ...
    • State of the Art on Artificial Intelligence in Land Use Simulation 

      Castro, M. Luz; Machado, Penousal; Santos, Iria; Rodríguez-Fernández, Nereida; Torrente-Patiño, Álvaro; Carballal, Adrián (Hindawi Limited, 2022)
      [Abstract] This review presents a state of the art in artificial intelligence applied to urban planning and particularly to land-use predictions. In this review, different articles after the year 2016 are analyzed mostly ...
    • Validation of an Aesthetic Assessment System for Commercial Tasks 

      Rodríguez-Fernández, Nereida; Álvarez-González, S.; Santos, Iria; Torrente-Patiño, Álvaro; Carballal, Adrián; Romero, Juan (MDPI, 2022)
      [Abstract] Automatic prediction of the aesthetic value of images has received increasing attention in recent years. This is due, on the one hand, to the potential impact that predicting the aesthetic value has on practical ...