Universitat de Girona
Now showing items 41-60 of 73
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 ...
In this thesis we propose a framework for designing, developing, a clinical decision support systems (CDSS) offering a suite of services for the early detection and assessment of chronic obstructive pulmonary disease (COPD), ...
In this thesis, we did an in-depth review of the state of the art of 3D registration, evaluating the most popular methods. Given the lack of standardization in the literature, we also proposed a nomenclature and a ...
One of the advantages of Augmented Reality (AR) in education is that AR increases student motivation. However, there is a lack of research on guidelines to inform the design and development of motivational AR learning ...
In this thesis, Augmented Reality Game-Based Learning (ARGBL) is explored and arguments are given in favor of its application in the classrooms. The thesis explores the concept and proposes technologies, theories and ...
This thesis is focused on the automatic detection of masses in FFDM images by using case-level information which includes bilateral, temporal and/or ipsilateral information. As a first step, FFDM images are preprocessed ...
The interest in performing underwater tasks using Autonomous Underwater Vehicles (AUVs) has been growing over the past few years. In this thesis, a flexible framework for underwater interventions using a Learning ...
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 ...
The most common applications of autonomous underwater vehicles (AUVs) include imaging and inspecting different kinds of structures on the sea. Most of these applications require a priori information of the area or structure ...
Breast cancer is the most common cancer among women worldwide. Several studies have shown that the combination of the different medical image modalities, such as the x-ray mammography and the magnetic resonance imaging ...
The adoption of Open Educational Resources (OER) has been continuously growing and with it the need to addressing the diversity of students’ learning needs. Because of that, OER should meet with characteristics such as the ...
Omnidirectional vision has received increasing interest during the last decade from the computer vision community. However, the use of omnidirectional cameras underwater is still very limited. In this thesis we propose ...
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 ...
Autonomous Underwater Vehicles (AUVs) true autonomy capabilities in complex unknown environments, have not yet been fully achieved because of the lack of online algorithms that can solve fundamental problems such as ...
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 ...
This thesis presents a SLAM algorithm using a multibeam echosounder, a new 1/2 underwater laser scanner for online 3D perception and two applications of this new laser scanner: inspection and intervention. The SLAM ...
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). ...
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. ...
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 ...
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 ...
