Programa de Doctorat en Tecnologies de la Informació i les Comunicacions: Recent submissions
Now showing items 81-100 of 389
Digging into biologically-driven injury mechanisms in the intervertebral disc: an evidence-based network modelling approach to estimate cell dynamics within complex multicellular systems
It is well known that injuries affect the tissue integrity. It might be less known that injury mechanisms could be initiated through a compromised cell response, which subsequently affects the tissue integrity. Such injuries ...
Blockchain technology: driving innovation in the supply chain
This thesis presents a study of blockchain impacts for supply chain (SC) application. By conducting explorative research, the thesis presents a grounded theory analysis based on eighteen interviews with international experts ...
Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans
Nowadays, lung cancer assessment is a complex and tedious task mainly per- formed by radiological visual inspection of suspicious pulmonary nodules, using computed tomography (CT) scan images taken to patients over ...
Decentralized cellular networks: Towards blockchain enabled cellular overlays
This thesis undertakes an investigation into the fit and utility of blockchain technologies within cellular networks. The core of this writing is a new 5G core network blockchain designed to be compatible with, and paired ...
Multimodal 3D computer planning system for the implantation of stereotactic electrodes in refractory epilepsy
Neurosurgery is evolving towards the use of minimally invasive procedures. In this dissertation, we present several tools designed to fulfill the multimodal and multidisciplinary requirements of Stereoencephalography (SEEG) ...
Mining arguments in scientific abstracts: Application to argumentative quality assessment
Argument mining consists in the automatic identification of argumentative structures in natural language, a task that has been recognized as particularly challenging in the scientific domain. In this work we propose SciARG, ...
Music recommender systems: taking into account the artists' perspective
Music streaming platforms nowadays play an important role in music consumption and have a big influence on the musical taste of the listeners. Machine learning-based recommender systems are a fundamental part of such ...
Image processing algorithms as artistic tools in digital cinema
The industry of cinema has experienced a radical change in the last decades: the transition from film cinematography to its digital format. As a consequence, several challenges have appeared, but, at the same time, many ...
Learning representations for medical image diagnosis: impact of curriculum training and architectural design
This thesis investigates two key aspects of learning deep-based image representations for medical diagnosis. The two are confronted with common challenges of medical image databases, namely, the limited number of samples, ...
A journey of computer vision in sports: from tracking to orientation-base metrics
Although tracking data have completely revolutionized the whole data science paradigm in sports competitions with the largest economic resources, its use in a European context is still unexplored. In this thesis, three ...
Width-Based Planning and Learning
Optimal sequential decision making is a fundamental problem to many diverse fields. In recent years, Reinforcement Learning (RL) methods have experienced unprecedented success, largely enabled by the use of deep learning ...
Contributions to understanding the mechanisms of action of electrolytic electroporation
Electroporation is a biophysical phenomenon in which cell membrane permeability to ions and molecules is increased when the cell is briefly exposed to high electric fields. Electroporation is the basis of multiple novel ...
Towards a better understanding of novel educational technologies and the impact of feedback on violin learning: a behavioral and electrophysiological account
Mastering the violin and other bowed string instruments requires special considerations compared with other musical instruments. The process of good sound generation in the violin is a notoriously complex task that requires ...
On data-driven models for image restoration
Restoration of a high-quality image from a degraded recording is an important problem in early vision processing. In this thesis, we tackle three image restoration problems: image inpainting, colorization, and motion ...
Between logic and language, a quest for primitives of thought: investigations on the origin of logical operators and their relationship with language
In this thesis we focus on the relationship between language and logic, to try to find potential primitives of thought. We depart from a well-established linguistic theory (the theory of exhaustification), which claims ...
Emancipation of the bitcoin outcasts: addressing overlooked elements of the bitcoin network for improving security and efficiency
During the last decade, cryptocurrencies have revolutionized the financial industry. In these systems, participants communicate by means of a peer-to-peer protocol. Today, many of such protocols take Bitcoin as a reference ...
Computational modeling of user activity in full-body interaction environments for ASC children: multimodal analysis of social interaction behaviors through psychophysiology, system activity, video coding, questionnaires, and body cues
Full-body Interaction experiences based on Mixed Reality (MR) systems are already playing an important role in encouraging socialization behaviors in children with Autism Spectrum Condition (ASC), as seen in the state of ...
Semantically-oriented text planning for automatic summarization
Text summarization deals with the automatic creation of summaries from one or more documents, either by extracting fragments from the input text or by generating an abstract de novo. Research in recent years has become ...
Applicability of wireless injectable microstimulators based on volume conduction for high density neuromuscular stimulation
This thesis was conducted within the framework of the eAXON project that is aimed at developing injectable wireless sub-millimetric single-channel addressable microstimulators based on volume conduction called eAXONs ...
Relative music loudness estimation in TV broadcast audio using deep learning: an industrial perspective
Under the current copyright management business model, broadcasters are taxed by the corresponding copyright management organization according to the percentage of music they broadcast, and the collected money is then ...
