Listar Trabajos Fin de Grado ETSIIT - TIIGMET Gradu Amaierako Lanak por titulación
Mostrando ítems 1-14 de 14
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3 Dimensional N Body Simulator
(2022) Trabajo Fin de Grado/Gradu Amaierako Lana
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
(2021) Trabajo Fin de Grado/Gradu Amaierako Lana
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
(2021) Trabajo Fin de Grado/Gradu Amaierako Lana
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
(2022) Trabajo Fin de Grado/Gradu Amaierako Lana
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.
(2021) Trabajo Fin de Grado/Gradu Amaierako LanaWhen 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
(2021) Trabajo Fin de Grado/Gradu Amaierako LanaThis 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
(2021) Trabajo Fin de Grado/Gradu Amaierako Lana
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
(2022) Trabajo Fin de Grado/Gradu Amaierako LanaWithin 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, ... -
SandDiffusion: image generation with depth conditioning for augmented reality SandBoxes
(2024) Trabajo Fin de Grado/Gradu Amaierako Lana
This TFG emerges from a collaboration grant signed with UPNA during the academic exercise of 2022-2023, and which main focus was diving into the new AI technologies that started surging at the beginning of set academic ... -
Simultaneous localization and Mapping with EKF and known correspondes
(2022) Trabajo Fin de Grado/Gradu Amaierako Lana
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
(2022) Trabajo Fin de Grado/Gradu Amaierako Lana
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
(2022) Trabajo Fin de Grado/Gradu Amaierako Lana
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 ... -
Studying the perturbation-based oversampling technique for imbalanced classification problems
(2023) Trabajo Fin de Grado/Gradu Amaierako Lana
This study aims to implement, analyze, and compare the effectiveness of a novel technique known as Perturbation-Based Oversampling (POS). This technique is designed to address class imbalance in machine learning by ... -
The cost of lies
(2021) Trabajo Fin de Grado/Gradu Amaierako Lana
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 ...
