Mostrando ítems 26775-26794 de 41446

    "M'agenollo en el fons de la meva paraula". La religiositat de Màrius Torres: del llegat espiritista a l'elaboració d'una poesia i un pensament propi 

    Suades Juncadella, Laia (Fecha de defensa: 2019-12-16)

    L’objectiu general d’aquesta tesi és contribuir a omplir el buit bibliogràfic que existeix al voltant de la religiositat de Màrius Torres (1910-1942). La primera part està dedicada als seus antecedents religiosos. Es ...

    m-RESIST: Atención Terapéutica Móvil para la Esquizofrenia Resistente al Tratamiento Estudio prospectivo multicéntrico de viabilidad y aceptabilidad 

    Grasa Bello, Eva M. (Fecha de defensa: 2020-11-25)

    A la Unió Europea, entre el 0,2 i el 2,6% de la població té un diagnòstic de trastorn psicòtic. Malgrat els avenços en el tractament farmacològic, al voltant del 40% de les persones amb diagnòstic d’esquizofrènia és resistent ...

    MAC design and analysis for MU-MIMO and full-duplex enabled wireless networks 

    Liao, Ruizhi (Fecha de defensa: 2014-10-06)

    IEEE 802.11 based wireless networks, especially the infrastructure based Wireless Local Area Networks (WLANs) or Wi-Fi networks, are hugely successful, and have become an indispensable part of our life at homes and working ...

    Mac-Phy Cross-Layer analysis and design of Mimo-Ofdm Wlans based on fast link adaptation 

    Martorell Lliteras, Gabriel (Fecha de defensa: 2013-07-10)

    The latestWLAN standard, known as IEEE 802.11n, has notably increased the network capacity with respect to its predecessors thanks to the incorporation of the multipleinput multiple-output (MIMO) technology. Nonetheless, ...

    Machine learning algorithms for 5G optical networks 

    Ibrahim Mohamed Badr, Asmaa (Fecha de defensa: 2023-07-18)

    (English) Throughout this thesis we addressed 5G network challenges. The non-coherent optical modulation tradeoff has been addressed, as we proposed FBMC and artificial intelligence-based schemes. The proposed schemes ...

    Machine learning and deep neural networks approach to modelling musical gestures 

    Cabrera Dalmazzo, David (Fecha de defensa: 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 ...

    A machine learning approach to computer modeling of musical expression for performance learning and practice 

    Muneratti Ortega, Fábio José (Fecha de defensa: 2022-03-11)

    Aquesta tesi tracta sobre el disseny i la implementació de sistemes informàtics per a l'execució musical expressiva (CSEMP), explorant diferents mètodes de l'aprenentatge automàtic i reflexionant sobre el paper de l'estructura ...

    Machine learning approach to the study of chromatin 

    Cuscó Pons, Pol (Fecha de defensa: 2017-12-13)

    Des de l’aparició de les tecnologies de seqüenciació d’alt rendiment, els conjunts de dades biològiques han esdevingut cada cop més grans i complexes, la qual cosa els fa pràcticament impossibles d’interpretar manualment. ...

    Machine Learning Approaches for Comprehensive Analysis of Population Cancer Registry Data 

    Florensa Cazorla, Dídac (Fecha de defensa: 2023-04-19)

    Els registres de càncer basats poblacionals són crucials per controlar i estudiar la incidència, mortalitat i supervivència del càncer. A més, explorar fonts d'informació externes per complementar aquests registres permet ...

    Machine learning assisted QoT estimation for optical networks optimization 

    Mahajan, Ankush (Fecha de defensa: 2021-09-28)

    The tremendous increase in data traffic has spurred a rapid evolution of the optical networks for a reliable, affordable, cost effective and scalable network infrastructure. To meet some of these requirements, network ...

    A machine learning based methodology for anomaly detection in dam behaviour 

    Salazar González, Fernando (Fecha de defensa: 2017-02-23)

    Dam behaviour is difficult to predict with high accuracy. Numerical models for structural calculation solve the equations of continuum mechanics, but are subject to considerable uncertainty as to the characterisation of ...

    Machine learning for aircraft trajectory prediction: a solution for pre-tactical air traffic flow management 

    Mateos Villar, Manuel (Fecha de defensa: 2022-11-08)

    (English) The goal of air traffic flow and capacity management (ATFCM) is to ensure that airport and airspace capacity meet traffic demand while optimising traffic flows to avoid exceeding the available capacity when it ...

    Machine learning for quantum physics and quantum physics for machine learning 

    Huembeli, Patrick (Fecha de defensa: 2021-03-25)

    Research at the intersection of machine learning (ML) and quantum physics is a recent growing field due to the enormous expectations and the success of both fields. ML is arguably one of the most promising technologies ...

    Machine learning in multiscale modeling and simulations of molecular systems 

    Hashemian, Behrooz (Fecha de defensa: 2015-05-08)

    Collective variables (CVs) are low-dimensional representations of the state of a complex system, which help us rationalize molecular conformations and sample free energy landscapes with molecular dynamics simulations. ...

    Machine learning in structural biology and chemoinformatics : Driving drug discovery one epoch at a time 

    Jiménez Luna, José (Fecha de defensa: 2019-10-24)

    Deep learning approaches have become increasingly popular in the last years thanks to their state-of the-art performance in fields such as computer vision and natural language understanding. The first goal of this thesis ...

    Machine learning methods for predicting days to discharge in Intensive Care Units patients 

    Cuadrado Gómez, David (Fecha de defensa: 2023-10-30)

    Les UCI donen atenció especialitzada per a pacients crítics, amb monitorització constant i equips d'atenció mèdica dedicats fins a la seva estabilitat per ser traslladats o donats d'alta. Una planificació inadequada pot ...

    Machine learning methods for the analysis of liquid chromatography-mass spectrometry datasets in metabolomics 

    Fernández Albert, Francesc (Fecha de defensa: 2014-10-30)

    Liquid Chromatography-Mass Spectrometry (LC/MS) instruments are widely used in Metabolomics. To analyse their output, it is necessary to use computational tools and algorithms to extract meaningful biological information. ...

    Machine learning methods for the characterization and classification of complex data 

    Amil Marletti, Pablo (Fecha de defensa: 2020-02-11)

    This thesis work presents novel methods for the analysis and classification of medical images and, more generally, complex data. First, an unsupervised machine learning method is proposed to order anterior chamber OCT ...

    Machine learning methods for understanding social media communication: modeling irony and emojis 

    Barbieri, Francesco (Fecha de defensa: 2018-01-25)

    In this dissertation we propose algorithms for the analysis of social media texts, focusing on two particular aspects: irony and emojis. We propose novel automatic systems, based on machine learning methods, able to recognize ...

    Machine learning techniques for adaptive polynomial and neural network digital predistorters 

    López Bueno, David (Fecha de defensa: 2023-07-07)

    (English) The power amplifier (PA) is a core element in the radio transmitters to support the required mobile and fixed broadband communication link ranges. However, the PA is a power-hungry and nonlinear by nature device. ...