Recent Submissions

  • Monitoring the Quality of Information (QoI) for low-cost sensor networks 

    Cerezo Llavero, Albert (Universitat Politècnica de Catalunya, 2019-04-25)
    Master thesis
    Open Access
    Mantaining a low cost sensor network calibrated for a certain time having trustable information is a highly complicated task. Thanks to redundant sensors in sensing devices and a sensor network, statistical tests can be ...
  • Workflows management for HPC environments 

    Rodríguez Rodríguez, Juan Esteban (Universitat Politècnica de Catalunya, 2019-04-25)
    Master thesis
    Open Access
    I present EVA, an extensible platform that allows the developer to build a numerical simulation kernel that can run on a heterogeneous HPC environment, hiding various problems associated with parallelism such as the passing ...
  • A machine learning approach to stock screening with fundamental analysis 

    Alvarez Vecino, Pol (Universitat Politècnica de Catalunya, 2019-04-15)
    Master thesis
    Open Access
    We present HPC.FASSR, a High-Performance Computation Fundamental Analysis Stock Screener and Ranker to compare many ML models and the criteria of famous Benjamin Graham for stock investing using fundamental data. FASSR is ...
  • Scheduling policies for Big Data workflows 

    Amela Milian, Ramon (Universitat Politècnica de Catalunya, 2019-04)
    Master thesis
    Open Access
    The aim of this master thesis is to both give the programmer some guidelines to achieve good scalabilities with tasked based programming models and to improve the COMPSs runtime scheduler the capabilities to reach this ...
  • Wav2Pix Enhancement and evaluation of a speech-conditioned image generator 

    Tubau Pires, Miquel (Universitat Politècnica de Catalunya, 2019-01)
    Master thesis
    Restricted access - confidentiality agreement
    We propose the enhancement and evaluation of a deep neural network that is trained from scratch in an end-to-end fashion, generating a face directly from the raw speech waveform without any additional identity information ...
  • Multivariate statistical analysis of urban environments applied to New York City 

    Bhihe, Cedric K. (Universitat Politècnica de Catalunya, 2019-01-30)
    Master thesis
    Open Access
    Dense smart cities are complex environments, characterized by a heterogeneous set of co-varying signals, which constitute urban semantics. We conduct a multivariate analysis to visualize hidden data structure, and propose ...
  • An architectural journey into RISC architectures for HPC workloads 

    Xu Lin, Ying Hao (Universitat Politècnica de Catalunya, 2019-01-28)
    Master thesis
    Open Access
    Covenantee:  Barcelona Supercomputing Centre
    The thesis evaluates the current state-of-the-art of RISC architectures in HPC. Studying the performance, power, and energy to solution in heterogeneous SoCs. For the evaluation 2 arm platforms (CPU+GPU, CPU+FPGA), 1 RISC-V ...
  • Traffic forecasting in smart cities 

    Vázquez Giménez, Juan José (Universitat Politècnica de Catalunya, 2019-01-15)
    Master thesis
    Open Access
    Traffic forecasting plays a key role in mitigating traffic congestion in urban areas. The main objective of this master thesis is to perform traffic forecasting in urban contexts by developing machine learning models trained ...
  • Automatically extracting relations between clinical findingand treatment from clinical texts 

    Dou, Yunxuan (Universitat Politècnica de Catalunya, 2019-01)
    Master thesis
    Open Access
    Automatically extracted the relations between the clinical findings and treatments in EMRs. It is a process of detecting and classifying the semantic relation between entities in medical texts. We built a supervised SVM ...
  • Predicting financial distress through machine learning 

    Ibraimova, Malika (Universitat Politècnica de Catalunya, 2019-01-19)
    Master thesis
    Open Access
    The main question which will be raised in this thesis is - whether we can predict future financial distress of a company based on the changes in historical financial results using different machine learning techniques.
  • Development of crowd simulation models using unity for immerssive VR applications 

    Nicás Miquel, Alicia (Universitat Politècnica de Catalunya, 2019-01-21)
    Master thesis
    Open Access
    We develop a virtual reality application that simulates a lecture-type talk in a crowded room and an emergency evacuation taking place in it. We perform an experiment where we immerse five participants in our application, ...
  • Enhanced scheduling techniques through lightweight monitoring for OmpSs-2 

    Navarro Muñoz, Antoni (Universitat Politècnica de Catalunya, 2019-01-28)
    Master thesis
    Open Access
    Covenantee:  Barcelona Supercomputing Centre
    Manually tuning applications to achieve optimal configurations prevails as the default technique. This raises issues, since these configurations depend on many aspects. To solve them, we propose extending runtimes with ...

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