Now showing items 21-30 of 30

    Human body parts segmentation via stacked and multi-task learning 

    Sánchez Abril, Daniel (Date of defense: 2019-10-09)

    La segmentació de persones en imatges RGB ha estat un problema central en el camp de la visió per computador. En aquesta tesi abordem el problema mitjançant hand-crafted features en un pipeline de dues etapes tant per ...

    Gesture tracking and neural activity segmentation in head-fixed behaving mice by deep learning methods 

    Abbas, Waseem (Date of defense: 2020-10-30)

    The typical approach used by neuroscientists is to study the response of laboratory animals to a stimulus while recording their neural activity at the same time. With the advent of calcium imaging technology, researchers ...

    Ad-hoc formation of edge clouds over heterogeneous non-dedicated resources 

    Juan Ferrer, Ana (Date of defense: 2020-11-30)

    La proliferació de dispositius connectats ha assolit xifres enormes. Avui, els dispositius connectats no tan sols estan disponibles a qualsevol lloc, sinó que, a més, adquireixen ràpidament una gran complexitat en la seva ...

    Structural and dynamical interdependencies in complex networks at meso- and macroscale: nestedness, modularity, and in-block nestedness 

    Palazzi Nieves, María José (Date of defense: 2020-12-15)

    Many real systems like the brain are considered to be complex, i.e. they are made of several interacting components and display a collective behaviour that cannot be inferred from how the individual parts behave. They are ...

    Transcriptome profiling and longitudinal cohort studies of myositis subsets 

    Pinal Fernández, Iago (Date of defense: 2020-12-28)

    Inflammatory myopathies are a heterogeneous family of rare autoimmune diseases affecting multiple organs and systems, including the skin, the lungs, the muscles and/or the joints. Accurately defining their pathogenesis and ...

    Applications of biased-randomized algorithms and simheuristics in integrated logistics 

    Do Carmo Martins, Leandro (Date of defense: 2021-09-13)

    Transportation and logistics (T&L) activities play a vital role in the development of many businesses from different industries. With the increasing number of people living in urban areas, the expansion of on-demand economy ...

    Applications of the Internet of Things and optimization to inventory and distribution management 

    Raba Sánchez, David (Date of defense: 2021-09-17)

    This thesis is part of the IoFEED (EU funded) project, which aims to monitor approximately 325 farm bins and investigates business processes carried out between farmers and animal feed producers. We propose a computer-aided ...

    Optimizing transportation systems and logistics network configurations: from biased-randomized algorithms to fuzzy simheuristics 

    Tordecilla Madera, Rafael David (Date of defense: 2022-02-23)

    Transportation and logistics (T&L) are currently highly relevant functions in any competitive industry. Locating facilities or distributing goods to hundreds or thousands of customers are activities with a high degree of ...

    Enterprise reference architectures for higher education institutions: Analysis, comparison and practical uses 

    Sanchez Puchol, Felix (Date of defense: 2022-04-29)

    Enterprise Architecture (EA) is currently accepted as one on the major instruments for enabling organisations in their transformation processes to achieve business-technology alignment. Despite that over the last years EA ...

    IoT@run-time: a model-based approach to support deployment and self-adaptations in IoT systems 

    Alfonso, Ivan (Date of defense: 2022-12-05)

    Today, most Internet of Things (IoT) systems leverage edge and fog computing to meet increasingly restrictive requirements and improve quality of service (QoS). Although these multi-layer architectures can improve system ...