Mostrando ítems 1-20 de 86

    Towards a linearly organized embedding space of biological networks 

    Xenos, Alexandros (Fecha de defensa: 2024-02-02)

    (English) The recent technological advances in high-throughput sequencing have yielded vast amounts of large-scale biological omics data that describe different aspects of cellular functioning. These omics data are typically ...

    Towards the automation of colon segmentation in magnetic resonance images 

    Orellana Bech, Bernat (Fecha de defensa: 2024-03-07)

    (English) The study of the colonic volume has strong relevance in gastroenterology and contributes to the diagnosis and research of lowseverity diseases such as constipation, diarrhea, or Irritable Bowel Syndrome. In the ...

    A data-driven approach to prescribe web API evolution 

    Koçi, Rediana (Fecha de defensa: 2024-01-23)

    (English) In the last two decades, the use of web Application Programming Interfaces (APIs) has grown exponentially, providing both consumers (software developers) and providers (companies and institutions that expose their ...

    Revolutionizing space mission event modeling with the Tychonis framework 

    Llopis, Marcel (Fecha de defensa: 2023-12-14)

    (English) This thesis presents the Tychonis framework, a solution to the limitations faced by existing software packages used in space missions to identify geometric events. The framework is designed to integrate with ...

    DA&AI supporting tools for gas turbine’s efficiency improvement: maintenance, operation modes and performance enhancement 

    Castro Cros, Martí de (Fecha de defensa: 2023-12-18)

    (English) Digitalization has revolutionized many industries, including the power generation sector. The availability of a vast amount of data from various systems has transformed decision-making processes in Industry. ...

    Assessing biases through mosaic attributions 

    Arias Duart, Anna (Fecha de defensa: 2023-12-11)

    (English) Machine learning and, more specifically, deep learning applications have grown in number in recent years. These intelligent systems have shown remarkable performance across various domains, including sensitive ...

    A methodology for the automation of building intelligent process control systems 

    Pascual Pañach, Josep (Fecha de defensa: 2023-11-10)

    (English) One of the major problems to design and implement control and supervision systems for real-world processes lies in the need to stablish an ad-hoc solution for each process, i.e., environmental systems in this ...

    Specification, estimation and monitoring of quality-related software strategic indicators in agile software development 

    Manzano Aguilar, Martí (Fecha de defensa: 2023-06-08)

    (English) In line with the current trend of exploiting corporative data, software companies, especially those using Agile and Rapid software development, are challenged to improve the quality of their products, their ...

    Causal discovery and prediction: methods and algorithms 

    Blondel, Gilles (Fecha de defensa: 2023-06-07)

    (English) This thesis focuses on the discovery of causal relations and on the prediction of causal effects. Regarding causal discovery, this thesis introduces a novel and generic method to learn causal graphs by performing ...

    Construction and technological development of immersive virtual reality for pain therapy 

    Álvarez de la Campa Crespo, Mercè (Fecha de defensa: 2023-06-29)

    (English) Virtual reality (VR) allows not only to easily change the perceived scenario but also to control several factors associated with the sense of being in an embodied virtual avatar that would not be achievable in ...

    Cluster evaluation on weighted networks 

    Renedo Mirambell, Martí (Fecha de defensa: 2023-03-28)

    (English) This thesis presents a systematic approach to validate the results of clustering methods on weighted networks, particularly for the cases where the existence of a community structure is unknown. Including edge ...

    New data integration methods for drug re-purposing by mining heterogeneous omics data 

    Zambrana Seguí, Maria del Carme (Fecha de defensa: 2023-11-21)

    (English) High-throughput omics technologies produce large-scale heterogeneous data that provide complementary views of the underlying complexity of the studied organism. To exploit these new data to answer biomedical ...

    A novel soft computing approach based on FIR to model and predict energy dynamic systems 

    Jurado Gómez, Sergio (Fecha de defensa: 2020-12-21)

    We are facing a global climate crisis that is demanding a change in the status quo of how we produce, distribute and consume energy. In the last decades, this is being redefined through Smart Grids(SG), an intelligent ...

    On-the-fly synthesizer programming with rule learning 

    Paz Ortiz, Alejandro Iván (Fecha de defensa: 2022-05-03)

    This manuscript explores automatic programming of sound synthesis algorithms within the context of the performative artistic practice known as live coding. Writing source code in an improvised way to create music or visuals ...

    A novel computer Scrabble engine based on probability that performs at championship leve 

    González Romero, Alejandro (Fecha de defensa: 2022-03-07)

    The thesis starts by giving an introduction to the game of Scrabble, then mentions state-of-the-art computer Scrabble programs and presents some characteristics of our developed Scrabble engine Heuri. Some brief notions ...

    Size bounds for algebraic and semialgebraic proof systems 

    Hakoniemi, Tuomas (Fecha de defensa: 2022-03-25)

    This thesis concerns the proof complexity of algebraic and semialgebraic proof systems Polynomial Calculus, Sums-of-Squares and Sherali-Adams. The most studied complexity measure for these systems is the degree of ...

    Human-aware application of data science techniques 

    Coma Puig, Bernat (Fecha de defensa: 2022-03-02)

    In recent years there has been an increase in the use of artificial intelligence and other data-based techniques to automate decision-making in companies, and discover new knowledge in research. In many cases, all this has ...

    Walking with virtual humans : understanding human response to virtual humanoids' appearance and behaviour while navigating in immersive VR 

    Ríos Jerez, Alejandro (Fecha de defensa: 2022-02-17)

    In this thesis, we present a set of studies whose results have allowed us to analyze how to improve the realism, navigation, and behaviour of the avatars in an immersive virtual reality environment. In our simulations, ...

    A framework for the analytical and visual interpretation of complex spatiotemporal dynamics in soccer 

    Fernández de la Rosa, Javier (Fecha de defensa: 2022-01-18)

    Sports analytics is an emerging field focused on the application of advanced data analysis for assessing the performance of professional athletes and teams. In soccer, the integration of data analysis is in its initial ...

    Bridging the gap between textual and formal business process representations 

    Sànchez-Ferreres, Josep (Fecha de defensa: 2021-09-29)

    In the era of digital transformation, an increasing number of organizations are start ing to think in terms of business processes. Processes are at the very heart of each business, and must be understood and carried out ...