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Bagheera: an advanced polimorphic and infection engine for Linux
(2021-10-13)
Computer viruses have been evolving since the '80s, adopting new techniques with the intention of avoiding being detected by anti-virus programs. One of these techniques is polymorphism, which is used to change the virus' ...
Gaining root access in Linux using the CVE-2021-26708 vulnerability
(2021-10-13)
In this work a Linux kernel vulnerability known as CVE-2021-26708 will be analyzed and dissected. This vulnerability allows gaining root access from an unauthorized and unprivileged user account using an error found in the ...
Benchmarking the performance and energy consumption of the AVX512 and VNNI instruction sets
(2022-10-19)
This project is focused on measuring the execution time, the energy consumption and
the performance of the new instruction set introduced by Intel in the Cascade Lake series of processors, which are called Vector Neural ...
User friendly image denoising based on deep learning
(2022-10-19)
Idioma: Ingles
Dado el gran rendimiento de los métodos basados en aprendizaje profundo en visión por computador y, en concreto, en reducción de ruido en imágenes y vídeos, se propone crear una herramienta web que permita ...
Analysis of the influence of sex in diagnostic classification of Parkinson's disease based on non-motor manifestations by means of machine learning methods
(2022-10-19)
Parkinson’s disease (PD) is the second most common neurodegenerative disorder, after
Alzheimer’s disease. In the early stages of the disease, when motor symptoms have not
yet manifested themselves, the accuracy of making ...
Trainable superpixel segmentation
(2018-10-15)
Trainable Superpixel Segmentation is a plug-in developed for the ImageJ platform that aims at providing its users with the ability to train models to segment images by classifying superpixels using region-based image ...
Oso corpus handien indexazioa, IR teknikak erabiliz
(2016-10-27)
Proiektu honetan testu bilduma oso handien gainean (corpusak) kontsulta aurreratuak egiteko web-aplikazio bat garatu da. Testuak informazio linguistikoaz aberastuta daude, eta kontsultak ezaugarri linguistiko horietan ...
Deep neural networks and data augmentationfor semantic labelling in a dialogue corpus
(2020-12-04)
El presente proyecto estudia y aplica técnicas de Deep Neural Networks y Data Augmentation para el etiquetado semántico en un corpus de diálogo, todo ello en el ámbito del Sentiment Analysis.
El objetivo principal es ...
Easy-to-use deep learning based super-resolution in microscopy images
(2021-10-08)
[ES]El TFG trata de la investigación de una red neuronal reciente de super-resolución así como su implementación en un notebook fácil de usar dirigido a gente no experta en programación.
Time-renormalization for the search of periodic solutions to the three-body problem
(2021-10-08)
Researchers Antoñana et al. developed a technique for global time-renormalization of the
gravitational N-body problem. In their paper, it is speculated that it may be useful for
finding periodic orbits, but they do not ...