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 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 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 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. ...

    Machine-learning to promote better practices of low-cost wearable devices in tremor diseases 

    Loaiza Duque, Julián David (Fecha de defensa: 2023-10-27)

    (English) The most common tremor disorders worldwide are Parkinson's Disease and Essential Tremor. The gold standard for diagnosing these movement disorders is medical evaluation by neurologists, but its accuracy depends ...

    Macro- and microscopic analysis of the internet economy from network measurements 

    Mikians, Jakub (Fecha de defensa: 2016-01-20)

    The growth of the Internet impacts multiple areas of the world economy, and it has become a permanent part of the economic landscape both at the macro- and at microeconomic level. On-line traffic and information are currently ...

    Magic graphs 

    Muntaner Batlle, Francesc Antoni (Fecha de defensa: 2001-11-29)

    DE LA TESIS<br/>Si un graf G admet un etiquetament super edge magic, aleshores G es diu que és un graf super edge màgic. La tesis està principalment enfocada a l'estudi del conjunt de grafs que admeten etiquetaments super ...

    Magnetic diagnostics algorithms for LISA Pathfinder: system identification and data analysis 

    Díaz Aguiló, Marc (Fecha de defensa: 2011-10-27)

    LISA (Laser Interferometer Space Antenna) is a joint mission of ESA and NASA, which aims to be the first space-borne gravitational wave observatory. LISA will consist in a constellation of three spacecraft at the vertexes ...

    Managing dynamic non-uiform cache architectures 

    Lira Rueda, Javier (Fecha de defensa: 2011-11-25)

    Researchers from both academia and industry agree that future CMPs will accommodate large shared on-chip last-level caches. However, the exponential increase in multicore processor cache sizes accompanied by growing on-chip ...

    Managing incentives in community network clouds 

    Khan, Amin M. (Fecha de defensa: 2016-06-21)

    Internet and communication technologies have lowered the costs for communities to collaborate, leading to new services like user-generated content and social computing, and through collaboration, collectively built ...

    Manejo integrado de plagas en legumbres almacenadas mediante el uso de atmósferas modificadas y de control biológico 

    Iturralde García, Rey David (Fecha de defensa: 2020-07-24)

    Spain is one of the main producing countries of chickpeas and beans in Europe and is also the main importer. Nowadays, pest control is mainly based on the application of phosphine. However, the risks on human health and ...

    Manteniment integral de motors d'encesa per compressió de cogeneració mitjançant l'anàlisi del lubricant. Validació experimental de nous paràmetres de control 

    González Castro, Josep Ramon (Fecha de defensa: 2001-07-25)

    En les últimes dècades s'han impulsat nombroses investigacions adreçades a optimitzar el disseny, la fabricació i l'explotació de centrals de cogeneració i, en particular, les que són accionades per motors alternatius ...

    Map-based localization for urban service mobile robotics 

    Corominas Murtra, Andreu (Fecha de defensa: 2011-09-23)

    Mobile robotics research is currently interested on exporting autonomous navigation results achieved in indoor environments, to more challenging environments, such as, for instance, urban pedestrian areas. Developing mobile ...

    Mapping atmosphere : rehearsals on rural mediterranean landscapes 

    Spanou, Ioanna (Fecha de defensa: 2014-07-28)

    This thesis explores embodied experience as a vehicle for the enrichment of the spatial interpretation of the landscape, a subject of constant interest in the discipline of landscape architecture, responding to a considerable ...

    Mapping biophysics through enhanced Monte Carlo techniques 

    Cabeza de Vaca López, Israel (Fecha de defensa: 2015-12-16)

    This thesis is focused on the study of molecular interactions at the atomistic detail and is divided into one introductory chapter and four chapters referencing different problems and methodological approaches. All of them ...