Browsing by Subject "Machine learning"
Now showing items 1-20 of 22
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A Machine-Learning Model for Lung Age Forecasting by Analyzing Exhalations
(MDPI, 2022)Spirometers are important devices for following up patients with respiratory diseases. These are mainly located only at hospitals, with all the disadvantages that this can entail. This limits their use and consequently, ... -
Aplicació de Machine Learning en la detecció i classificació d’atacs informàtics en una xarxa
(2022-06)L’actual demanda tecnològica ha suposat que en els últims anys s’hagi experimentat un gran desenvolupament de les eines utilitzades dins el sector, aquest creixement ha suposat l’avenç de la disciplina de l’aprenentatg ... -
Auditing static machine learning anti-Malware tools against metamorphic attacks
(Elsevier, 2021)Malicious software is one of the most serious cyber threats on the Internet today. Traditional malware detection has proven unable to keep pace with the sheer number of malware because of their growing complexity, new ... -
Bayesian optimization for effective thermal conductivity measurement of thermal energy storage: An experimental and numerical approach
(Elsevier, 2022)The increasing demand for cooling and refrigeration poses an urgent need in designing efficient and low-cost thermal energy storage systems for future energy systems. While multiple effects may affect the heat transfer ... -
Comparative analysis of predictive methods for early assessment of compliance with continuous positive airway pressure therapy
(BMC, 2018)Background: Patients suffering obstructive sleep apnea are mainly treated with continuous positive airway pressure (CPAP). Although it is a highly effective treatment, compliance with this therapy is problematic to achieve ... -
Data-Driven Virtual Replication of Thermostatically Controlled Domestic Heating Systems
(MDPI, 2021)Thermostatic load control systems are widespread in many countries. Since they pro vide heat for domestic hot water and space heating on a massive scale in the residential sector, the assessment of their energy performance ... -
Democratizing Video Human Activity Recognition
(2021-07)The exponential growth of video sources available like smartphones, surveillance video cameras and video sharing platforms, and the recent advances related to video encoding, storage, and computational resources, has ... -
Detection of Bulbar Involvement in Patients With Amyotrophic Lateral Sclerosis by Machine Learning Voice Analysis: Diagnostic Decision Support Development Study
(JMIR Publications, 2021)Background: Bulbar involvement is a term used in amyotrophic lateral sclerosis (ALS) that refers to motor neuron impairment in the corticobulbar area of the brainstem, which produces a dysfunction of speech and swallowing. ... -
Development and validation of a sample entropy-based method to identify complex patient-ventilator interactions during mechanical ventilation
(Scientific Reports, 2020)Patient-ventilator asynchronies can be detected by close monitoring of ventilator screens by clinicians or through automated algorithms. However, detecting complex patient-ventilator interactions (CP-VI), consisting of ... -
Efficient smishing detector using Machine Learning techniques
(2021-07)The main reason for studying and carrying out this project is the interest in the burning problem, in the company where I currently work. To be able to protect our users from text messages with malicious content we need ... -
Estimating Stem Volume in Eucalyptus Plantations Using Airborne LiDAR: A Comparison of Area- and Individual Tree-Based Approaches
(MDPI, 2020-05-09)Forest plantations are globally important for the economy and are significant for carbon sequestration. Properly managing plantations requires accurate information about stand timber stocks. In this study, we used the area ... -
Evolution of Scientific Production on Health Literacy and Health Education—A Bibliometric Analysis
(MDPI, 2022)In the last few years, there has been an emphasis on the importance of health literacy (HL) and health education (HE) as basic tools to empower individuals and the community. The increasing interest in HL and HE has been ... -
Farming and earth observation: sentinel-2 data to estimate within-field wheat grain yield
(Elsevier, 2022)Wheat grain yield (GY) is a crop feature of central importance affecting agricultural, environmental, and socioeconomic sustainability worldwide. Hence, the estimation of within-field variability of GY is pivotal for the ... -
Going Deep into the Cat and the Mouse Game: Deep Learning for Malware Classification
(Universitat de Lleida, 2020-12-15) -
Integrating defeasible argumentation with fuzzy ART neural networks for pattern classification
(Iberoamerican Science & Technology Education Consortium, 2004)Many classification systems rely on clustering techniques in which a collection of training examples is provided as an input, and a number of clusters c1,...cm modelling some concept C results as an output, such that every ... -
Management and Treatment of Patients With Obstructive Sleep Apnea Using an Intelligent Monitoring System Based on Machine Learning Aiming to Improve Continuous Positive Airway Pressure Treatment Compliance: Randomized Controlled Trial
(JMIR Publications, 2022)Background: Continuous positive airway pressure (CPAP) is an effective treatment for obstructive sleep apnea (OSA), but treatment compliance is often unsatisfactory. Objective: The aim of this study was to assess the ... -
Mapping cynodon dactylon infesting cover crops with an automatic decision tree-OBIA procedure and UAV imagery for precision viticulture
(MDPI, 2019-12-21)The establishment and management of cover crops are common practices widely used in irrigated viticulture around the world, as they bring great benefits not only to protect and improve the soil, but also to control vine ... -
Planning an application development and its business research
(2021-07)In this project you can find the different steps when launching a new application. The service we want to offer is a website with an algorithm that predicts different football results and how we could get into the market ... -
Predictive Analysis applied to talent retention
(2019-06)In this project we explain the design and implementation of a part of an application called “People Analytics” that consists in the analysis of company employees and has the objective of helping the department of Human ... -
Sediment Level Prediction of a Combined Sewer System Using Spatial Features
(MDPI, 2021)The prediction of sediment levels in combined sewer system (CSS) would result in enormous savings in resources for their maintenance as a reduced number of inspections would be needed. In this paper, we benchmark different ...