Mostrando ítems 1-20 de 75

    Enhancing underwater operations through advanced autonomous manipulation 

    Pi Roig, Roger (Fecha de defensa: 2024-07-09)

    The interest in the use of AUVs has increased in recent decades. While former research focused on underwater exploration for sea bottom mapping (bathymetries, sonar, and photo mosaics), it evolved soon into 3D optical ...

    Innovative graph-theory solutions for the future urban water networks 

    Martínez Álvarez, David (Fecha de defensa: 2024-07-05)

    Urban water networks serve as lifelines for densely populated areas, ensuring access to clean water for drinking, sanitation, and industrial purposes. These infrastructures form the backbone of urban life. However, in ...

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

    Esteba Masjuan, Joan (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (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 ...

    Underwater image-based 3D reconstruction with quality estimation 

    Istenič, Klemen (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (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 ...

    Computer aided detection for breast lesion in ultrasound and mammography 

    Agarwal, Richa (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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 (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 ...

    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 ...

    Technology-based process for suporting university students with ADHD 

    Mancera Valetts, Laura (Fecha de defensa: 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 (Fecha de defensa: 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 (Fecha de defensa: 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. ...