Outlier Detection in Wearable Sensor Data for Human Activity Recognition (HAR) Based on DRNNs by Mario Munoz-Organero

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Digital education and the future of ways to teach and learn by Mario Muñoz Organero

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Using Traffic Sensors in Smart Cities to Enhance a Spatio-Temporal Deep Learning Model for COVID-19 Forecasting by Mario Muñoz-Organero

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Deep Physiological Model for Blood Glucose Prediction in T1DM Patients by Mario Munoz-Organero

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Editorial for the Special Issue “Personal Health and Wellbeing Intelligent Systems Based on Wearable and Mobile Technologies” by Mario Munoz-Organero

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Human Movement Recognition Based on the Stochastic Characterisation of Acceleration Data by Mario Munoz-Organero, Ahmad Lotfi

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Gait-Based Identification Using Deep Recurrent Neural Networks and Acceleration Patterns by Angel Peinado-Contreras, Mario Munoz-Organero

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Reducing stress and fuel consumption providing road information by Víctor CORCOBA MAGAÑA, Mario MUÑOZ ORGANERO

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Time-Elastic Generative Model for Acceleration Time Series in Human Activity Recognition by Mario Munoz-Organero, Ramona Ruiz-Blazquez

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Detecting Steps Walking at very Low Speeds Combining Outlier Detection, Transition Matrices and Autoencoders from Acceleration Patterns by Mario Muñoz-Organero, Ramona Ruiz-Blázquez

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Using Multivariate Outliers from Smartphone Sensor Data to Detect Physical Barriers While Walking in Urban Areas by Ramona Ruiz Blázquez, Mario Muñoz-Organero

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Deep Spatiotemporal Model for COVID-19 Forecasting by Mario Muñoz-Organero, Paula Queipo-Álvarez

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Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions by Laura Martínez-Delgado, Mario Munoz-Organero, Paula Queipo-Alvarez

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A Survey of the Selenium Ecosystem by Boni García, Micael Gallego, Francisco Gortázar, Mario Munoz-Organero

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Learning Carbohydrate Digestion and Insulin Absorption Curves Using Blood Glucose Level Prediction and Deep Learning Models by Mario Muñoz-Organero, Paula Queipo-Álvarez, Boni García Gutiérrez

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Assessing Walking Strategies Using Insole Pressure Sensors for Stroke Survivors by Mario Munoz-Organero, Jack Parker, Lauren Powell, Susan Mawson

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A new RNN based machine learning model to forecast COVID-19 incidence, enhanced by the use of mobility data from the bike-sharing service in Madrid by Mario Muñoz-Organero, Patricia Callejo, Miguel Ángel Hombrados-Herrera

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Active Labeling Correction of Mealtimes and the Appearance of Types of Carbohydrates in Type 1 Diabetes Information Records by Ivan Contreras, Mario Muñoz-Organero, Aleix Beneyto, Josep Vehi

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Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle by Mario Muñoz-Organero, Lauren Powell, Ben Heller, Val Harpin, Jack Parker

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Automatic Extraction and Detection of Characteristic Movement Patterns in Children with ADHD Based on a Convolutional Neural Network (CNN) and Acceleration Images by Mario Muñoz-Organero, Lauren Powell, Ben Heller, Val Harpin, Jack Parker

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