A formalization for multi-agent decision support in cooperative environments. A framework for situated agents 

    Ibarra Martínez, Salvador (Fecha de defensa: 2008-06-16)

    La tesis propone un marco de trabajo para el soporte de la toma de decisiones adecuado para soportar la ejecución distribuida de acciones cooperativas en entornos multi-agente dinámicos y complejos. Soporte para la toma ...

    A geometric routing scheme in word-metric spaces for data networks 

    Camelo Botero, Miguel Hernando (Fecha de defensa: 2014-10-31)

    This research work explores the use of the Greedy Geometric Routing (GGR) schemes to solve the scalability problem of the routing systems in Internet-like networks and several families of Data Center architectures. We ...

    A proposal for the diagnosis of uncertain dynamic systems based on interval models 

    Gelso, Esteban Reinaldo (Fecha de defensa: 2009-05-29)

    The performance of a model-based diagnosis system could be affected by several uncertainty sources, such as,model errors,uncertainty in measurements, and disturbances. This uncertainty can be handled by mean of interval ...

    Admission control schemes for TCP elastic traffic in class-based networks 

    Fàbrega i Soler, Lluís (Fecha de defensa: 2008-07-11)

    En aquesta tesi proposem dos esquemes de xarxa amb control d'admissió per al trànsit elàstic TCP amb mecanismes senzills. Ambdós esquemes són capaços de proporcionar throughputs diferents i aïllament entre fluxos, on un ...

    Advanced illumination and view-selection techniques for volume rendering and its application to medical imaging 

    Ruiz Altisent, Marc (Fecha de defensa: 2012-05-04)

    Volume visualization is a method of extracting information from volumetric data using interactive graphics. Volume visualization aims to assist visual interpretation of data by creating three-dimensional models that reproduce ...

    Advanced underwater vehicle manipulation through real-time motion planning 

    Youakim Isaac, Dina Nagui (Fecha de defensa: 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 ...

    An approach to coded structured light to obtain three dimensional information 

    Salvi, Joaquim (Fecha de defensa: 1998-02-16)

    The human visual ability to perceive depth looks like a puzzle. We perceive three-dimensional spatial information quickly and efficiently by using the binocular stereopsis of our eyes and, what is mote important the learning ...

    Aportacions de l'anàlisi composicional a les mixtures de distribucions 

    Comas Cufí, Marc (Fecha de defensa: 2018-10-24)

    The present thesis is a compendium of three original works produced between 2014 and 2018. The papers have a common link: they are different contributions made by compositional data analysis to the study of the models based ...

    An approach to melanoma classification exploiting polarization information 

    Rastgoo, Mojdeh (Fecha de defensa: 2016-06-13)

    Malignant melanoma is the deadliest of skin cancers and causes the majority of deaths in comparison to other skin-related malignancies. Yet it is the most treatable type of cancer, thanks to its early diagnosis. Subsequently, ...

    Assisted visual servoing by means of structured light 

    Pagès Marco, Jordi (Fecha de defensa: 2005-11-25)

    Aquesta tesi tracta sobre la combinació del control visual i la llum estructurada. El control visual clàssic assumeix que elements visuals poden ser fàcilment extrets de les imatges. Això fa que objectes d'aspecte uniforme ...

    Augmented film narrative by use on non-photorealistic rendering: from 3D cinema to virtual reality 

    Fajnzylber Reyes, Victor (Fecha de defensa: 2021-09-19)

    It is stated that non-photorealistic rendering (NPR) triggers specific ocular behaviors that can have a real effect on the way of perceiving a cinematic narrative. The transdisciplinary interest of this thesis lies in ...

    Automated 3D object recognition in underwater scenarios for manipulation 

    Himri, Khadidja (Fecha de defensa: 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 ...

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

    González-Villà, Sandra (Fecha de defensa: 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 ...

    Automated brain tissue segmentation of magnetic resonance images in multiple sclerosis 

    Valverde Valverde, Sergi (Fecha de defensa: 2016-06-14)

    L'objectiu principal d'aquesta tesi és el desenvolupament d'un nou mètode de segmentació totalment automàtic capaç de mesurar amb precisió el volum cerebral en imatges de pacients d'EM amb lesions. El mètode que hem proposat ...

    Automated detection of new multiple sclerosis lesions in longitudinal brain magnetic resonance imaging 

    Ganiler, Onur (Fecha de defensa: 2014-10-24)

    This thesis deals with the detection of new multiple sclerosis (MS) lesions in longitudinal brain magnetic resonance (MR) imaging. This disease is characterized by the presence of lesions in the brain, predominantly in the ...

    Automated methods on magnetic resonance brain imaging in multiple sclerosis 

    Roura Pérez, Eloy (Fecha de defensa: 2016-07-01)

    In this thesis, we have focused on the image pre-processing in order to enhance the image information. The main aspects of this enhancement rely on removing any image noise and correcting any intensity bias induced by the ...

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

    Kushibar, Kaisar (Fecha de defensa: 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 ...

    Beyond trust. Using fuzzy contextual filters for reliability assessment in multi agent systems 

    Acebo Peña, Esteve del (Fecha de defensa: 2011-05-27)

    Trust modeling is widely recognized as an aspect of essential importance in the construction of agents and multi agent systems (MAS). As a consequence, several trust formalisms have been proposed over the last years. All ...

    Case based reasoning as an extension of fault dictionary methods for linear electronic analog circuits diagnosis 

    Pous i Sabadí, Carles (Fecha de defensa: 2004-07-12)

    El test de circuits és una fase del procés de producció que cada vegada pren més importància quan es desenvolupa un nou producte. Les tècniques de test i diagnosi per a circuits digitals han estat desenvolupades i ...

    Catadioptric stereo based on structured light projection 

    Radu, Orghidan (Fecha de defensa: 2006-07-24)

    La percepció per visió es millorada quan es pot gaudir d'un camp de visió ampli. Aquesta tesi es concentra en la percepció visual de la profunditat amb l'ajuda de càmeres omnidireccionals. La percepció 3D s'obté generalment ...