Articles publicats Departament d'Enginyeria Elèctrica, Electrònica i Automàtica: Enviaments recents
Ara mostrant els elements 1-20 de 181
Managing Blood Glucose in Premature Neonates via Parenteral Nutrition: In-silico Evaluation
Prometeus (Preterm Brain-Oxygenation and Metabolic EU-Sensing: Feed the Brain) develops innovative technology for personalized nutrition in premature neonates. Central to this is the Nutritional Clinical Advisor, an adaptive ...
CTBN-PH: A continuous-time Bayesian network for individualised diagnostic risk prediction
Continuous-time Bayesian networks (CTBNs) are powerful tools for modelling and predicting complex disease trajectories in continuous-time scenarios. However, their application is often limited by a lack of individualisation ...
CCLR-DL: A novel statistics and deep learning hybrid method for feature selection and forecasting healthcare demand
Background and Objective: Hybrid forecasting methods aim to overcome the limitations of classical statistical approaches and deep learning models. While statistical methods provide interpretability, they often lack predictive ...
Methodological Advances in temperature dynamics modeling for energy-efficient indoor air management systems
Heating, ventilation, and air conditioning (HVAC) systems account for up to 40% of the total energy consumption in buildings. Improving the modeling of HVAC components is necessary to optimize energy efficiency, maintain ...
Enabling charging point operators for participation in congestion markets
This paper explores the viability of electric vehicle charging point operators to act as flexibility service providers in local flexibility markets. The work focuses on the requirements for operating in local intra-day ...
A Study of Using Custom-Clustering Algorithm for a New Treatment of COVID-19
This work deals with the problem of knowing a group of people that adequately responds to a specific treatment in order to classify community in groups is the objective. In the process to make this classification, a lot ...
Reconstructing Magnetic Hysteresis Behavior with Flux Model and Identifying Parameters for Dual-Coil MR Actuator
Magnetorheological (MR) actuators represent an important class of semi-active devices that have received extensive investigation and deployment in the field of vibration reduction systems. Their notable features include a ...
Increasing hosting capacity of low-voltage distribution network using smart charging based on local and dynamic capacity limits
While the Municipality of Amsterdam wants to expand the electric vehicle public charging infrastructure to reach carbon-neutral objectives, the Distribution System Operator cannot allow new charging stations where low-voltage ...
Complex-Order Fractional Proportional-Resonant Controller for High-Frequency Applications
This article presents the design and implementation of a complex-order fractional proportional-resonant (COFPR) controller. The proposed COFPR controller is an evolution of the fractional proportional-resonant (FPR) ...
Robust Fault Detection System for Insulin Pump Therapy Using Continuous Glucose Monitoring
The popularity of continuous subcutaneous insulin infusion (CSII), or insulin pump therapy, as a way to deliver insulin more physiologically and achieve better glycemic control in diabetes patients has increased. Despite ...
Optimal design of a series hybrid powertrain for an agricultural tractor
Hybrid powertrains represent a potential solution to reduce the emissions of agricultural machineries and meet the restrictive standards introduced by the different governments with the aim to achieve Climate Neutrality. ...
Analysis of Fractional Resonant Controllers for Voltage-Controlled Applications
This paper investigates the application of fractional proportional-resonant controllers within the voltage control loop of grid-forming inverters. The use of such controllers introduces an additional degree of freedom, ...
Transició energètica: electrificació de la demanda i gestió de la flexibilitat
The European agendas for the coming years progressively limit greenhouse gas emissions. This implies the replacement of fossil sources with renewable sources and the electrification of the demand. Electrification is most ...
An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems
In hybrid automatic insulin delivery (HAID) systems, meal disturbance is compensated by feedforward control, which requires the announcement of the meal by the patient with type 1 diabetes (DM1) to achieve the desired ...
The Effects of Environmental Factors on General Human Health: A Scoping Review
The external environment constantly influences human health through many factors, including air quality, access to green spaces, exposure to pollutants, and climate change. Contamination poses a substantial threat to human ...
La escuela virtual: la tecnología al servicio de la educación = The Virtual School: Technology as an Educative Tool
The virtual school es neither restricted to a physical place (the school) nor a fiexed timetable. On the contrary, students and teachers interact without spacial or temporary restrictions. Virtual school provide big ...
Evolución y utilización de internet en la educación = Evolution and Use of Internet in the Education
Blended Learning as new model that complements and synthesizes two options that, until it does few years, they seemed for many contradictory: traditional learning with formation through the TICs. In this new modality of ...
A simulator with realistic and challenging scenarios for virtual T1D patients undergoing CSII and MDI therapy
In silico simulations have become essential for the development of diabetes treatments. However, currently available simulators are not challenging enough and often suffer from limitations in insulin and meal absorption ...
Combining Grammatical Evolution with Modal Interval Analysis: An Application to Solve Problems with Uncertainty
Complex systems are usually affected by various sources of uncertainty, and it is essential to account for mechanisms that ensure the proper management of such disturbances. This paper introduces a novel approach to solve ...
Hipertension demand forecasting using Cross-Correlation and lagged Multiple Linear Regression Models for anticipatinghHealth resources needs
This article presents an algorithm that uses a combination of cross-correlation analysis and lagged multiple linear regression models to predict the time-series of future demand for clinical visits associated with a certain ...
