Now showing items 14-33 of 34

    Efficient sequential and temporal pattern mining 

    Mordvanyuk, Natalia (Date of defense: 2021-10-13)

    The contributions of the present thesis are in the domain of Pattern Mining and Knowledge Discovery, being of particular relevance for the sequential pattern mining and time-interval related pattern mining fields. In ...

    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 ...

    Enfoques metodológicos para mejorar la precisión y fiabilidad de los sistemas de monitorización continua de glucosa en pacientes con diabetes tipo 1 y en pacientes críticos mediante técnicas lineales y no lineales 

    Leal Moncada, Yenny Teresa (Date of defense: 2013-07-30)

    This dissertation focuses on the development and improvement of the minimally invasive continuous glucose monitoring systems (CGMS). This dissertation gives emphasis in solving the problem of the accuracy and reliability ...

    Estudi, desenvolupament i validació d'eines avançades per a la gestió de la diabetis 

    Parcerisas Albés, Adrià (Date of defense: 2021-07-13)

    Diabetes mellitus (DM) is a chronic disease characterized by the body's inability to produce the necessary amount of insulin to regulate blood glucose (BG) levels. Most cases occur due to a destruction of the pancreatic ...

    Forecasting and decision support for type 1 diabetes insulin therapy using machine learning 

    Oviedo Castillo, Silvia (Date of defense: 2019-04-09)

    Insulin therapy for Type 1 Diabetes (T1D) has several ramifications with different degrees of automation. The advances in sensors and monitoring devices have led to an increasing availability of data. Additionally, machine ...

    Foundations of uncertainty management for text-based sentiment prediction 

    Hossayni, Sayyed Ali (Date of defense: 2018-07-27)

    Analyzing the sentiment of Social Networks users is an attractive task, well-covered by the Sentiment Analysis research communities. Alongside, predicting the rating/opinion of users in Social Networks or e-commerce platforms ...

    Introspection on control-grounded capabilities. An agent inspired approach for control 

    Quintero Monroy, Christian G. (Date of defense: 2007-10-18)

    Introspecció sobre la dinàmica dels agents té un important impacte en decisions individuals i cooperatives en entorns multi-agent. Introspecció, una habilitat cognitiva provinent de la metàfora "agent", permet que els ...

    Método para descubrir patrones espacio-temporales de comportamiento de usuarios eléctricos utilizando herramientas de aprendizaje automático 

    Flor Ambrosi, Mario Alberto (Date of defense: 2021-10-27)

    This research presents a novel approach to define geographic areas with typical electricity consumption profiles from smart meter records, using machine learning and spatial analysis methods. Distribution system operators ...

    Modelling of electric vehicle user profiles for flexibility management and charging infrastructure planning 

    Cañigueral Maurici, Marc (Date of defense: 2023-10-10)

    The transition to electric mobility is facing multiple challenges, usually associated with the roll-out of the charging infrastructure. On one hand, cities must develop a charging infrastructure that meets the user needs ...

    Multi-attribute auctions: application to workflow management systems 

    Pla Planas, Albert (Date of defense: 2014-04-25)

    Resource and task allocation for workflows poses an allocation problem in which several attributes may be involved (economic cost, delivery time, CO2 emissions...), therefore, it must be treated from a multi-criteria ...

    Multivariate statistical modelling and monitoring of smart buildings 

    Burgas Nadal, Llorenç (Date of defense: 2019-11-22)

    In order to reduce mismatches between real and expected consumption, this thesis explores the use of PCA (Principal Component Analysis) as a modelling tool for buildings. PCA is a statistical technique that allows complex ...

    Multivariate Statistical Process Control and Case-Based Reasoning for situation assessment of Sequencing Batch Reactors 

    Ruiz Ordóñez, Magda Liliana (Date of defense: 2008-06-16)

    ABSRACT<br/><br/>This thesis focuses on the monitoring, fault detection and diagnosis of Wastewater Treatment Plants (WWTP), which are important fields of research for a wide range of engineering disciplines. <br/><br/>The ...

    Novel methods for the efficacy and safety in the artificial pancreas intended for domiciliary use 

    Ramkissoon, Charrise Mary (Date of defense: 2019-03-07)

    Type 1 diabetes (T1D) is an autoimmune disease that targets the insulin producing β-cells in the pancreas that results in chronically elevated blood glucose (BG) levels and requires lifelong insulin-replacement therapy. ...

    Predicción probabilística de estados glucémicos para pacientes con diabetes tipo 1 mediante el análisis de datos composicionales 

    Cabrera Tejera, Alvis (Date of defense: 2023-09-20)

    Diabetes mellitus (DM) is a chronic disease that affects a large number of people worldwide, making it a global pandemic. Type 1 diabetes (T1D) accounts for approximately 10 % of all cases. It is characterized by autoimmune ...

    Prediction of postprandial blood glucose under intra-patient variability and uncertainty and its use in the design of insulin dosing strategies for type 1 diabetic patients 

    García Jaramillo, Maira Alejandra (Date of defense: 2011-07-22)

    In this thesis I propose a novel method to estimate the dose and injection-to-meal time for low-risk intensive insulin therapy. This dosage-aid system uses an optimization algorithm to determine the insulin dose and ...

    Reducción de barreras de adopción de criptomonedas: innovación tecnológica en los procesos de validación de transacciones 

    Carrillo Peña, Paulo Nicolás (Date of defense: 2019-07-10)

    This research proposes a solution for the reduction of part of the aforementioned barriers, through the design of the consensus protocol called Proof of Reputation (PoR) that is based on the Blockchain technology of Ethereum, ...

    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 ...

    Robust and fault-tolerant strategies for controlling blood glucose in patients with type 1 diabetes 

    Beneyto Tantiña, Aleix (Date of defense: 2020-12-02)

    Type 1 diabetes is a serious disease that must be monitored and controlled artificially by supplying exogenous insulin to the body. The artificial pancreas (AP) is a closed-loop system that resulted from integrating an ...

    Robustness on resource allocation problems 

    Muñoz i Solà, Víctor (Date of defense: 2011-02-17)

    En problemes d'assignació de recursos, normalment s'han de tenir en compte les incerteses que poden provocar canvis en les dades inicials. Aquests canvis dificulten l'aplicabilitat de les planificacions que s'hagin fet ...

    Semiactive control strategies for vibration mitigation in adaptronic structures equipped with magnetorheological dampers 

    Zapateiro de la Hoz, Mauricio Fabián (Date of defense: 2009-07-21)

    Los sistemas tales como edificios y veh¨ªculos est¨¢n sujetos a vibraciones que pueden causar mal funcionamiento, incomodidad o colapso. Para mitigar estas vibraciones, se suelen instalar amortiguadores. Estas estructuras ...