Departament d'Enginyeria Elèctrica, Electrònica i Automàtica: Enviaments recents
Ara mostrant els elements 1-20 de 34
Reinforcement learning for bolus insulin dosing for people with type 1 diabetes
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 ...
Modelling of electric vehicle user profiles for flexibility management and charging infrastructure planning
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 ...
Predicción probabilística de estados glucémicos para pacientes con diabetes tipo 1 mediante el análisis de datos composicionales
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 ...
Data-driven models for type 1 diabetes using generative deep learning
Modeling biological systems has always been challenging given the complexity of the processes involved in them. Experts have been employing physiological models to approximate the dynamics of biological systems; however, ...
Desarrollo de algoritmos de control para terapia MDI en pacientes con diabetes tipo 1
Diabetes Mellitus (DM) is considered one of the fastest-growing global health emergencies in the XXI century. According to the World Health Organization, it was estimated in 2021 that 537 million people were suffering from ...
Método para descubrir patrones espacio-temporales de comportamiento de usuarios eléctricos utilizando herramientas de aprendizaje automático
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 ...
Efficient sequential and temporal pattern mining
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 ...
Estudi, desenvolupament i validació d'eines avançades per a la gestió de la diabetis
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 ...
Data-driven approaches for event detection, fault location, resilience assessment, and enhancements in power systems
This thesis presents the study and development of distinct data-driven techniques to support event detection, fault location, and resilience assessment towards enhancements in power systems. It is divided in three main ...
Robust and fault-tolerant strategies for controlling blood glucose in patients with type 1 diabetes
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 ...
Multivariate statistical modelling and monitoring of smart buildings
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 ...
Reducción de barreras de adopción de criptomonedas: innovación tecnológica en los procesos de validación de transacciones
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, ...
Condition assessment of patients with Type 1 diabetes using compositional data analysis
Type 1 Diabetes Mellitus (T1DM) is a chronic disease that leads to absolute insulin deficiency. People with T1DM need exogenous insulin to maintain glucose at proper levels. Achieving optimal glycemic control is a major ...
Development and validation of strategies to mitigate the risk of hypoglycemic events in type 1 diabetes mellitus
Type 1 diabetes mellitus (T1DM) is a chronic condition resulting from the destruction of insulin-producing pancreatic beta-cells due to an autoimmune process that may occur at any age, but tends to develop in childhood and ...
Forecasting and decision support for type 1 diabetes insulin therapy using machine learning
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 ...
Novel methods for the efficacy and safety in the artificial pancreas intended for domiciliary use
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. ...
Foundations of uncertainty management for text-based sentiment prediction
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 ...
Data-driven models for building energy efficiency monitoring
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 ...
Decision support framework for space-use optimization and arrangement of public services
The thesis concentrates particularly on how to enhance space-use in the case of public facilities. This issue has been approached by repurposing existing facilities and introducing additional services, thereby creating ...
Multi-attribute auctions: application to workflow management systems
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 ...
