Articles publicats (D-EEEiA)

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An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems

Optimal scheduler for energy consumption reduction in multi-vector energy management systems: A case study at the Port of Borg

The Impact of Missing Continuous Blood Glucose Samples on Machine Learning Models for Predicting Postprandial Hypoglycemia: An Experimental Analysis

Generative deep learning for the development of a type 1 diabetes simulator

An ensemble machine learning approach for the detection of unannounced meals to enhance postprandial glucose control

Evaluating person-centred integrated care to people with Complex Chronic Conditions: early implementation results of the ProPCC programme

Dimensionality reduction and features visual representation based on conditional probabilities applied to activity classification

Individualized Prediction of Blood Glucose Outcomes Using Compositional Data Analysis

Hipertension demand forecasting using Cross-Correlation and lagged Multiple Linear Regression Models for anticipatinghHealth resources needs

Assessment of electric vehicle charging hub based on stochastic models of user profiles

Active Labeling Correction of Mealtimes and the Appearance of Types of Carbohydrates in Type 1 Diabetes Information Records

Intermittent closed-loop blood glucose control for people with type 1 diabetes on multiple daily injections

Validation of a Probabilistic Prediction Model for Patients with Type 1 Diabetes Using Compositional Data Analysis

CauRuler: Causal irredundant association rule miner for complex patient trajectory modelling

APPRAISE-RS: Automated, updated, participatory, and personalized treatment recommender systems based on GRADE methodology

Multi-vector energy management system including scheduling electrolyser, electric vehicle charging station and other assets in a real scenario

Conditional Synthesis of Blood Glucose Profiles for T1D Patients Using Deep Generative Models

A simulator with realistic and challenging scenarios for virtual T1D patients undergoing CSII and MDI therapy

TA4L: Efficient temporal abstraction of multivariate time series

Influence of occupant presence patterns on energy consumption and its relation to comfort: a case study based on sensor and crowd-sensed data

HTE 3.0: Knowledge-based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment

Evaluating Auction Mechanisms for the Preservation of Cost-Aware Digital Objects under Constrained Digital Preservation Budgets

Developing Novel Technologies and Services for Intelligent Low Voltage Electricity Grids: Cost–Benefit Analysis and Policy Implications

Flexibility management of electric vehicles based on user profiles: The Arnhem case study