Case-based diagnosis of batch processes based on latent structures 

    Berjaga Moliné, Xavier (Date of defense: 2013-11-14)

    The aim of this thesis is to present a methodological approach for the automatic monitoring of batch processes based on a combination of statistical models and machine learning methods. The former is used to model the ...

    Data-driven models for building energy efficiency monitoring 

    Massana i Raurich, Joaquim (Date of defense: 2018-02-02)

    Nowadays, energy is absolutely necessary all over the world. Taking into account the advantages that it presents in transport and the needs of homes and industry, energy is transformed into electricity. Bearing in mind ...

    Design and implementation of a closed-loop blood glucose control system in patients with type 1 diabetes 

    León Vargas, Fabian Mauricio (Date of defense: 2013-10-23)

    In the work presented in this dissertation, open-loop and closed-loop control strategies that were aimed at resolving major glucose control problems in the postprandial period were developed. A new model-based control ...

    Egalitarian behaviour in multi unit combinatorial auctions 

    Murillo Espinar, Javier (Date of defense: 2010-11-10)

    En entornos donde los recursos son precederos y la asignación de recursos se repite en el tiempo con el mismo conjunto o un conjunto muy similar de agentes, las subastas recurrentes pueden ser utilizadas. Una subasta ...

    Reinforcement learning for bolus insulin dosing for people with type 1 diabetes 

    Ahmad, Sayyar (Date of defense: 2024-01-18)

    Type 1 Diabetes (T1D) is a chronic metabolic disorder caused by destruction of the insulin producing beta cells in the islets of Langerhans within the pancreas due to an autoimmune reaction. T1D is distinguished by elevated ...