Universitat de Girona
Now showing items 1-20 of 26
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 ...
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 ...
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 ...
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, ...
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 ...
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 ...
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 ...
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 ...
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 ...
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, ...
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 ...
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. ...
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 ...
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). ...
Large scale image mosaicing methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of underwater robots in gathering optical ...
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 ...
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, ...
The fusion of several images of the same scene into a single and larger composite is known as photo-mosaic. Unfortunately, the seams along image boundaries are often noticeable, due to photometrical and geometrical ...
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 ...
All-Optical Label Swapping (AOLS) es una tecnología clave para la implementación de nodos de conmutación completamente óptica de paquetes. Sin embargo, el costo de su desarrollo es proporcional al tamaño del espacio de ...
