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Machine learning approaches to video activity recognition: from computer vision to signal processing
(2023-02-23)La investigación presentada se centra en técnicas de clasificación para dos tareas diferentes, aunque relacionadas, de tal forma que la segunda puede ser considerada parte de la primera: el reconocimiento de acciones humanas ... -
Machine learning based anomaly detection for industry 4.0 systems.
(2023-04-04)This thesis studies anomaly detection in industrial systems using technologies from the Fourth Industrial Revolution (4IR), such as the Internet of Things, Artificial Intelligence, 3D Printing, and Augmented Reality. The ... -
Machine Learning based Fall Detector with a Sensorized Tip
Brull Mesanza, Asier
; ; Zubizarreta Pico, Asier ; ; ; (IEEE, 2021-12-03)
[EN]Fall detection has become an area of interest in recent years, as quick response to these events is critical to reduce the morbidity and mortality rate. In order to ensure proper fall detection, several technologies ... -
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
; López Guede, José Manuel; Estévez Sanz, Julián ; (MDPI, 2024-03-07)
Background: The declaration of the COVID-19 pandemic triggered global efforts to control and manage the virus impact. Scientists and researchers have been strongly involved in developing effective strategies that can help ... -
Machine learning for ecosystem services
(Elsevier, 2018)Recent developments in machine learning have expanded data-driven modelling (DDM) capabilities, allowing artificial intelligence to infer the behaviour of a system by computing and exploiting correlations between observed ... -
Machine Learning for the Built Heritage Archaeological Study
Mesanza Moraza, Amaia; García Gómez, Ismael; Azkarate Garai-Olaun, Agustín (Association for Computing Machinery, 2021-02)
The presence of artificial intelligence in our lives is increasing and being applied to fields such as medicine, engineering, telecommunications, remote sensing and 3D visualization. Nevertheless, it has never been used ... -
Machine learning in the EU health care context: exploring the ethical, legal and social issues
; Lazcoz Moratinos, Guillermo; (Taylor and Francis, 2020-07-14)
Diagnosis and clinical decision-making based on Machine Learning technologies are showing significant advances that may change the functioning of our health care systems. They promise more effective and efficient healthcare ... -
Machine learning methods for predictive maintenance using real-time data and time-frequency analysis
(2023-11-30)In this diploma thesis, different techniques of Predictive Maintenance based on Machine Learning are compared. In particular, the Remaining Useful Life of a ball bearing of the shaft of a Wind Turbine was predicted with ... -
Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators
(Public Library Science, 2016-07-21)Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for ... -
Machine Learning-Assisted High-Throughput SERS Classification of Cell Secretomes
; ; ; ; ; ; Carracedo Pérez, Arkaitz; (Wiley, 2023-12)
During the response to different stress conditions, damaged cells react in multiple ways, including the release of a diverse cocktail of metabolites. Moreover, secretomes from dying cells can contribute to the effectiveness ... -
Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach
; Zubizarreta Pico, Asier; (Springer Nature, 2023)
Lower limb motor impairment affects greatly the autonomy and quality of life of those people suffering from it. Recent studies have shown that an appropriate rehabilitation can significantly improve their condition, but, ... -
Machine learning-based model for prediction of clinical deterioration in hospitalized patients by COVID 19
(Nature Research, 2022)[EN] Despite the publication of great number of tools to aid decisions in COVID-19 patients, there is a lack of good instruments to predict clinical deterioration. COVID19-Osakidetza is a prospective cohort study recruiting ... -
Machining distortion prediction for aerospace structural components
(2022-12-20)Las distorsiones son un problema recurrente en la producción de componentes estructurales aeroespaciales, y conlleva altos costos y desperdicio de material y energía en la industria. Actualmente se resuelve mediante largos ... -
Machining Stresses and Initial Geometry on Bulk Residual Stresses Characterization by On-Machine Layer Removal
(MDPI, 2020-03-22)Prediction and control of machining distortion is a primary concern when manufacturing monolithic components due to the high scrap and rework costs involved. Bulk residual stresses, which vary from blank to blank, are a ... -
Macro-kinetic model for CuO-ZnO-ZrO2@SAPO-11 core-shell catalyst in the direct synthesis of DME from CO/CO2
; ; ; ; Aguayo Urquijo, Andrés Tomás (Elsevier, 2021-01-14)
An original kinetic model has been used to describe the performance of an original CuO-ZnO-ZrO2@SAPO-11 bifunctional catalyst on the one-stage synthesis of dimethyl ether (DME) from CO/CO2 hydrogenation. The model considers ... -
Macroeconomía intermedia : ejercicios de autoevaluación
Echevarría Olave, Cruz Ángel; García Enríquez, Javier (Fundamentos del Análisis Económico II/Ekonomia Analisiaren Oinarriak II, UPV/EHU, 2012)
Tratándose de un material de autoevaluación, está pensado para servir como herramienta de apoyo a todos cuantos estén interesados en la teoría macroeconómica a un nivel introductorio-medio -
Macroeconomía y medio ambiente: El PIB como medida de bienestar
(2014-06-24)Este Trabajo de Fin de Grado estudia el uso del Producto Interior Bruto (PIB) como medida de bienestar. Al tiempo que se realiza el análisis de la contabilidad nacional y, en mayor profundidad del PIB, se detallan algunas ... -
Macrophage-dependent IL-1 beta production induces cardiac arrhythmias in diabetic mice
Monnerat, Gustavo; Alarcón, Micaela L.; Vasconcellos, Luiz R.; Hochman-Mendez, Camila; Brasil, Guilherme; Bassani, Rosana A.; Casis Sáenz, Oscar; Malan, Daniela; Travassos, Leonardo H.; Sepúlveda, Marisa; Burgos, Juan Ignacio; Vila Petroff, Martin; Dutra, Fabiano F.; Bozza, Marcelo T.; Paiva, Claudia N.; Bastos Carvalho, Adriana; Bonomo, Adriana; Fleischmann, Bernd K.; Campos de Carvalho, Antonio Carlos; Medei, Emiliano (Nature Publishing, 2016-11-24)
Diabetes mellitus (DM) encompasses a multitude of secondary disorders, including heart disease. One of the most frequent and potentially life threatening disorders of DM-induced heart disease is ventricular tachycardia ... -
Macrozooplankton predation impact on anchovy (Engraulis encrasicolus) eggs mortality at the Bay of Biscay shelf break spawning centre
; ; ; ; ; Estomba Recalde, Miren Andone (Oxford University Press, 2014-11-23)
A real-time PCR based method involving a species-specific probe was applied to detect Engraulis encrasicolus eggs predation by the macrozooplank- ton community during the 2011 spawning season. Three locations along the ... -
MACsec Layer 2 Security in HSR Rings in Substation Automation Systems
; ; Araujo Parra, José Ángel; ; Bidarte Peraita, Unai (MDPI, 2017-01-31)
The smart-grid concept takes the communications from the enclosed and protected environment of a substation to the wider city or nationwide area. In this environment, cyber security takes a key role in order to secure the ...