Departament d'Arquitectura i Tecnologia de Computadors

La Universitat de Girona té més de 15.000 estudiants i 1.400 professors. Ofereix uns 50 estudis de grau i més de 20 màsters. S’organitza en 9 centres docents, 1 Escola de Doctorat, 6 centres adscrits. L’activitat de recerca es du a terme en 24 departaments, 12 instituts de recerca i més de 40 càtedres, a més d’un centenar de grups de recerca especialitzat. Té la seu a la ciutat de Girona i s’integra en el sistema d’universitats públiques catalanes.

També trobareu les tesis recol·lectades al repositori DUGi .


Si sou doctor o doctora de la Universitat de Girona i voleu publicar la vostra tesi a TDX, contacteu amb tdx@udg.edu. Per a més informació consulteu les preguntes més freqüents.

Recent Submissions

Enhancing the AUV long-term deployment: non-holonomic AUV autonomous docking using acoustics in a funnel-shaped docking station 

Esteba Masjuan, Joan (Date of defense: 2023-10-19)

Underwater robotics has undergone significant development in recent years. It has been applied to a wide range of sectors, such as the mapping of areas of interest, the collection of scientific data, or the Inspection ...

Gestión del conocimiento en la co-creación de material educativo con y para estudiantes con altas capacidades 

Meneses Ortegón, Juan Pablo (Date of defense: 2023-06-20)

The development of any process handles data. These data are generated from information that in turn generates knowledge. The ideal is that this knowledge provides the process with added value that allows it to improve, ...

Deep learning methods for extraction of neuroimage markers in the prognosis of brain pathologies 

Clèrigues Garcia, Albert (Date of defense: 2023-02-13)

This PhD thesis focuses on improving the extraction of neuroimage markers for the prognosis and outcome prediction of neurological pathologies such as ischemic stroke, Alzheimer’s disease (AD) and multiple sclerosis (MS). ...

Underwater 3d sensing using structured light: development of an underwater laser scanner and a non-rigid point cloud registration method 

Castillón Sánchez, Miguel (Date of defense: 2023-02-10)

Accurate underwater 3D perception is essential to advance towards the automation of expensive, dangerous and/or time-consuming tasks, such as the inspection, maintenance and repair of off-shore industrial sites. Accurate ...

Automated 3D object recognition in underwater scenarios for manipulation 

Himri, Khadidja (Date of defense: 2021-12-10)

In recent decades, the rapid development of intelligent vehicle and 3D scanning tecnologies has led to a growing interest in applications based on 3D point data processing, with many applications such as augmented reality ...

Underwater image-based 3D reconstruction with quality estimation 

Istenič, Klemen (Date of defense: 2021-03-25)

This thesis addresses the development of resources for accurate scaling and uncertainty estimation of image-based 3D models for scientific purposes based on data acquired with monocular or unsynchronized camera systems in ...

Deep learning for atrophy quantification in brain magnetic resonance imaging 

Bernal Moyano, Jose (Date of defense: 2020-10-27)

The quantification of cerebral atrophy is fundamental in neuroinformatics since it permits diagnosing brain diseases, assessing their progression, and determining the effectiveness of novel treatments to counteract them. ...

Co-creación adaptativa de material educativo para estudiantes con altas capacidades 

Uribe-Rios, Mery Yolima (Date of defense: 2020-12-03)

Generally, High Ability or Gifted individuals show spontaneous and natural performance in one or more domains. Thus, a High Ability student is creative, 2/2 curious and motivated to learn new things. Despite this behaviour, ...

Automatic segmentation of brain structures in magnetic resonance images using deep learning techniques 

Kushibar, Kaisar (Date of defense: 2020-07-20)

This PhD thesis focuses on the development of deep learning based methods for accurate segmentation of the sub-cortical brain structures from MRI. First, we have proposed a 2.5D CNN architecture that combines convolutional ...

Computer aided detection for breast lesion in ultrasound and mammography 

Agarwal, Richa (Date of defense: 2019-09-26)

In the field of breast cancer imaging, traditional Computer Aided Detection (CAD) systems were designed using limited computing resources and used scanned films (poor image quality), resulting in less robust application ...

Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images 

Salem, Mostafa (Date of defense: 2020-02-13)

This thesis is focused on developing novel and fully automated methods for the detection of new multiple sclerosis (MS) lesions in longitudinal brain magnetic resonance imaging (MRI). First, we proposed a fully automated ...

Online 3D view planning for autonomous underwater exploration 

Vidal Garcia, Eduard (Date of defense: 2019-11-28)

Autonomous underwater vehicles are used nowadays in many applications. One of the applications is mapping of a particular area of the ocean. Quen the robot needs to cover the area of interest and no prior knowledge of ...

Framework para la educación patrimonial apoyada en realidad aumentada 

Mendoza Garrido, Raynel Alfonso (Date of defense: 2019-10-11)

La Educación Patrimonial es el proceso que permite a las personas comprender y apropiarse de sus bienes patrimoniales tanto tangibles como intangibles. Tradicionalmente, la Educación Patrimonial se lleva a cabo en escenarios ...

Advanced underwater vehicle manipulation through real-time motion planning 

Youakim Isaac, Dina Nagui (Date of defense: 2019-06-21)

A key challenge in autonomous mobile manipulation is the ability to determine in real-time how to safely execute complex tasks when placed in an unknown world. In response to those arising needs in the underwater ...

Automated brain structure segmentation in magnetic resonance images of multiple sclerosis patients 

González-Villà, Sandra (Date of defense: 2019-05-31)

This thesis is focused on the automated segmentation of the brain structures in magnetic resonance images, applied to multiple sclerosis patients. This disease is characterized by the presence of lesions, which affect the ...

Technology-based process for suporting university students with ADHD 

Mancera Valetts, Laura (Date of defense: 2019-02-06)

In this thesis, the Adaptative Hypermedia Systems (AHS) are used to generate e-Learning processes that consider the characteristics of university students who suffer from Attention Deficit Hyperactivity Disorder (ADHD). ...

Motion annotation in complex video datasets 

Mahmood, Muhammad Habib (Date of defense: 2018-11-16)

Motion segmentation refers to the process of separating regions and trajectories from a video sequence into coherent subsets of space and time. In this thesis, we created a new multifaceted motion segmentation dataset ...

Word-processing-based routing for Cayley graphs 

Aguirre Guerrero, Daniela (Date of defense: 2019-05-15)

This Thesis focuses on the problem of generic routing in Cayley Graphs(CGs). These graphs are a geometric representation of algebraic groups and have been used as topologies of a wide variety of communication networks. ...

Validation of availability and policy based management for programmable networks 

Maldonado López, Ferney A. (Date of defense: 2017-09-12)

SDN is a network technology that separates control functions and the data plane. This separation allows flexibility in the management and use of network resources because the software is specialized in controlling the ...

Geographical interdependent robustness measures in transportation networks 

Rueda Pepinosa, Diego Fernando (Date of defense: 2018-11-14)

Most of transportation networks interacts with other to support our modern society way of life. The proper performance of interdependent networks depends on the normal operation of the networks that are interconnected. The ...

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