Now showing items 1-12 of 12

    • 3 Dimensional N Body Simulator 

      Paños Basterra, Juan (2022)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      This thesis is based on the development of a simulation software for the N-body problem, attempting to provide a modern program to improve upon existing simulators. To achieve this, the N-body problem will be explained, ...
    • Comparing tangible and mid-air interfaces for interacting with a 3D audio controler 

      Merino Pinedo, Fernando (2021)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      3D Audio is becoming a new standard in society for music listening and general audio. New applications emerge every day trying to build each time more immersive experiences: videogames, environments simulations, virtual ...
    • eChess: magnetically actuated tokens with PCB coils 

      Petkov Donkov, Stefan (2021)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      The project consists in the design, construction and programming of a device capable of electromagnetically controlling the pieces of a chess board. The device will consist of two parts, one consists of a matrix of ...
    • Generation of invernal-valued fuzzy partitions in order to optimise IVFARC algorithm 

      Otazu Redín, Judit (2022)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      IVFARC is a classifier based on interval-valued fuzzy association rules. This classifier provides its knowledge to correctly predict the class of a given example from a model based on fuzzy association rules. They are ...
    • Integration of a artificial intelligence model for the detection of emotions with Unreal Engine. 

      Azcona Aizcorbe, Mario (2021)   Trabajo Fin de Grado/Gradu Amaierako Lana
      When programming an Artificial Intelligence model in many cases the preferred programming language is Python, whereas the language utilized in Unreal Engine is C++. The objective of this project is taking an AI model ...
    • Multi-camera set-up for generating deep learning training data: study of hardware limitations and integration with the user intrface 

      Pascual Casas, Rubén (2021)   Trabajo Fin de Grado/Gradu Amaierako Lana
      This project is part of the Emotional Films project from the Public University of Navarra. More specifically it encompasses the image/video collection phase for the training of deep learning models. The project will ...
    • Optimizing the fuzzy transform using key points for image compression 

      Galafate De la llave, Mikel (2021)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      In this project we work with the F-Transform and its application to image compression. With images that contain a single object with a constant background as a target, the main idea is to try to make a better approximation ...
    • A review of Active Learning methods for classification problems 

      Bruned Alamán, Jorge (2022)   Trabajo Fin de Grado/Gradu Amaierako Lana
      Within the Artificial Intelligence field, and, more specifically, in the context of Machine Learning, the need for a set of labelled data is a common need to carry out the learning process of supervised models. However, ...
    • Simultaneous localization and Mapping with EKF and known correspondes 

      Dervisheva Dailova, Neri (2022)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      The Simultaneous Localization and Mapping (SLAM) algorithm is the basis for the most navigation systems in a large range of indoor, outdoor, air and underwater applications for both manned and autonomous vehicles. The ...
    • Study of different KNN aldorithm versions 

      Sospedra Legarda, Javier (2022)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      K-Nearest Neighbor algorithm has been proven to be a simple and effective method for classification problems in machine learning. This Final Degree Project is based on the investigation of the KNN (K-Nearest Neighbors) ...
    • Study on the application of different image preprocessing algorithms in image segmentation using deep learning techniques 

      Velasco Rodríguez, Iñaki (2022)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      Semantic segmentation is one of the most important fields of computer vision due to its applicability. In this case, semantic segmentation will be applied to images taken from vehicles knowing the importance of autonomous ...
    • The cost of lies 

      Domínguez Jalle, Íñigo (2021)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      The aim of this Final Degree Project is to develop a video game technical demo to study, compare and implement features from fields such as Physics, Procedural Random Generation, Performance improvements and Artificial ...