Programa de Doctorat en Tecnologies de la Informació i les Comunicacions: Recent submissions

Now showing items 121-140 of 394

Dynamics of the membrane potential: studies of the membrane potential of Jurkat cells using wavelet and wavelet bispectral analysis 

Pidde, Aleksandra (Date of defense: 2020-12-04)

Fluctuations are fundamental for living organisms. They arguably result from interactions with the complex, and unpredictable environment, and can often be manifested as temporal variability. The cell must continually ...

Machine learning and deep neural networks approach to modelling musical gestures 

Cabrera Dalmazzo, David (Date of defense: 2020-12-02)

Gestures can be defined as a form of non-verbal communication associated with an intention or an emotional state articulation. They are not only intrinsically part of the human language, but also explain specific details ...

Nonlinear signal analysis of micro and macro electroencephalographic recordings from epilepsy patients 

Martínez, Cristina G. B. (Date of defense: 2020-11-27)

The use of nonlinear signal analysis measures to characterize electroencephalographic (EEG) recordings can be key for a better understanding of the underlying brain dynamics. In neurological disorders such as epilepsy, ...

Connecting real, sustainable, smart and digital cities 

Oliveira, Thays Aparecida de (Date of defense: 2020-11-26)

This thesis addresses on research accomplished and published during the last five years on the state-of-the-art about the development on Smart and Digital Cities. The world population has been increasing and conglomerating ...

Automatic generation of descriptive related work reports 

AbuRa'ed, Ahmed Ghassan Tawfiq (Date of defense: 2020-10-16)

A related work report is a section in a research paper which integrates key information from a list of related scientific papers providing context to the work being presented. Related work reports can either be descriptive ...

Towards spatial reuse in future wireless local area networks: a sequential learning approach 

Wilhelmi Roca, Francesc (Date of defense: 2020-10-07)

The Spatial Reuse (SR) operation is gaining momentum in the latest IEEE 802.11 family of standards due to the overwhelming requirements posed by next-generation wireless networks. In particular, the rising traffic requirements ...

Map-less inventory and location for an RFID-based robot 

Casamayor Pujol, Víctor (Date of defense: 2020-10-09)

This thesis presents a new paradigm for RFID-based inventory robots. This map-less operation increases the operative autonomy of the robots as they no longer require a mapping step. This new paradigm is based on the ...

Machine learning to support exploring and exploiting real-world clinical longitudinal data 

Nogueira, Mariana (Date of defense: 2020-10-05)

Following-up on patient evolution by reacquiring the same measurements over time (longitudinal data) is a crucial component in clinical care dynamics, as it creates opportunity for timely decision making in preventing ...

Audio-visual deep learning methods for musical instrument classification and separation 

Slizovskaia, Olga (Date of defense: 2020-10-21)

In music perception, the information we receive from a visual system and audio system is often complementary. Moreover, visual perception plays an important role in the overall experience of being exposed to a music ...

Parametric analysis of ambisonic audio: a contributions to methods, applications and data generation 

Pérez López, Andrés (Date of defense: 2020-10-23)

Due to the recent advances in virtual and augmented reality, ambisonics has emerged as the de facto standard for immersive audio. Ambisonic audio can be captured using spherical microphone arrays, which are becoming ...

The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after stroke 

Maier, Martina (Date of defense: 2020-09-21)

The increase in stroke survivors poses a global challenge for the current health care system. The way that standard therapy is provided today impacts long-term disability and dependency in ADL insufficiently. The associated ...

Control of chimera states in oscillator networks 

Ruzzene, Giulia (Date of defense: 2020-09-25)

Partial synchronization is an important phenomenon observed in nature and model systems. Chimera states are the most studied type of partially synchronized dynamics and attract interest from many fields of science. In ...

Word embeddings with applications to web search and advertising 

Edizel, Necati Bora (Date of defense: 2019-07-26)

Word embeddings are a building block of many practical applications across NLP and related disciplines. In this thesis, we present theoretical analysis and algorithms to learn word embeddings. Moreover, we present applications ...

Exploring through prototyping embodied interaction design developing systems for mathematics learning for children with visual impairments and without 

Marichal Baráibar, Sebastián (Date of defense: 2020-06-09)

In the last decades new interaction paradigms have emerged: Tangible User Interfaces, ubiquitous computing, wearable devices, mixed- reality among others. Such paradigms extended the user interface beyond the keyboard ...

Internal logistics optimization in the automotive industry 

Fabri Lima, Marcelus (Date of defense: 2020-01-27)

This thesis focus on internal logistics flows (ILF), which is defined as the flows of materials inside the same business or the same plant. Precisely, this work approaches the ILF of SEAT, a company in the Volkswagen ...

Wavelet-based spatial audio framework : from ambisonics to wavelets: a novel approach to spatial audio 

Scaini, Davide (Date of defense: 2019-12-16)

Ambisonics is a complete theory for spatial audio whose building blocks are the spherical harmonics. Some of the drawbacks of low order Ambisonics, like poor source directivity and small sweet-spot, are directly related ...

Computational anatomy as a driver of understanding structural and functional cardiac remodeling 

Bernardino, Gabriel (Date of defense: 2019-12-16)

We present a statistical shape analysis framework to identify cardiac shape remodelling while accounting for individual´s natural variability and apply it in two clinical applications: comparing triathletes with controls, ...

Deep learning -based segmentation methods for computer-assisted fetal surgery 

Torrents Barrena, Jordina (Date of defense: 2019-12-09)

This thesis focuses on the development of deep learning-based image processing techniques for the detection and segmentation of fetal structures in magnetic resonance imaging (MRI) and 3D ultrasound (US) images of singleton ...

Visual data-enriched design technology for blended learning 

Albó, Laia (Date of defense: 2019-11-28)

This doctoral thesis focuses on a gap identified in the literature by investigating how visual representations, authoring support, and data analytics can aid teachers in designing for learning in complex scenarios that ...

Characterizing online participation in civic technologies 

Aragón, Pablo (Date of defense: 2019-11-22)

This thesis constitutes one of the first investigations focused on characterizing online participation in civic technologies, a type of platform increasingly popular on the Internet that allows citizens new forms, on a ...