Browsing by Subject "Machine learning"
Now showing items 21-40 of 40
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(Royal Soc Chemistry, 2022)Research in modern data-driven dynamical systems is typically focused on the three key challenges of high dimensionality, unknown dynamics and nonlinearity. The dynamic mode decomposition (DMD) has emerged as a cornerstone ...
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(BMC, 2020)Background Medical knowledge is accumulated in scientific research papers along time. In order to exploit this knowledge by automated systems, there is a growing interest in developing text mining methodologies to extract, ...
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(Universidad de Chile, 2019)
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(Universidad de Chile, 2022)
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(Universidad de Chile, 2018)Objetivo: Desarrollar un modelo predictivo que permita al área de Supply de BHP Minerals Americas hacer gestión proactiva sobre ordenes de trabajo de mantenimiento con requerimiento de materiales y pudiendo anticiparse así ...
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(Universidad de Chile, 2022)
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(Universidad de Chile, 2022)
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(IOP Publishing, 2022)Objective. The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) and Alzheimer’s disease (AD) remains challenging in underrepresented, underdiagnosed groups, including Latinos, as advanced ...
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(IEEE, 2022)Wireless communication systems working in millimeter-wave (mmWave) frequency bands offer higher bandwidths than traditional radio frequency schemes. This technology allows multibeam steering and data multiplexing with the ...
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(Elsevier, 2020)Reinforcement learning (RL) provides an alternative method for designing condition-based decision making in engineering systems. In this study, a simple and flexible RL tabular Q-learning framework is employed to identify ...
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(Springer, 2022)Non-dimensional similarity groups and analytically solvable proximity equations can be used to estimate integral fluid film parameters of elastohydrodynamically lubricated (EHL) contacts. In this contribution, we demonstrate ...
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(SAGE, 2020)The obesity epidemic progresses everywhere across the globe, and implementing frequent nationwide surveys to measure the percentage of obese population is costly. Conversely, country-level food sales information can be ...
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(IEEE-Inst Electrical Electronics Engineers, 2021)Predicting an individual's risk of getting a stroke has been a research subject for many authors worldwide since it is a frequent illness and there is strong evidence that early awareness of having that risk can be bene ...
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(Elsevier Ltd, 2019)© 2019 Elsevier LtdTriage is a critical process in hospital emergency departments (ED). Specifically, we consider how to achieve fast and accurate patient Triage in the ED of a pediatric hospital. The goal of this paper ...
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(BMC, 2021)Background: In Chile, a patient needing a specialty consultation or surgery has to frst be referred by a general practitioner, then placed on a waiting list. The Explicit Health Guarantees (GES in Spanish) ensures, by law, ...
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(Universidad de Chile. Facultad de Economía y Negocios, 2018)Taking advantage of georeferenced data from Chilean students, we estimate the impact of commuting time over academic achievement. As the commuting time is an endogenous variable, we use instrumental variables and fixed ...
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(MDPI, 2021)Artificial intelligence and, in particular, machine learning methods have gained notable attention in the tribological community due to their ability to predict tribologically relevant parameters such as, for instance, the ...
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(Elsevier B.V., 2019)© 2017 Elsevier B.V. Respiratory diseases have an increasing prevalence in the large urban concentration of the world, due to the apparently unstoppable increase of air pollution from a diversity of sources. Children are ...
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(Elsevier B.V., 2018)© 2018 Elsevier B.V. We consider the problem of analyzing the structure of spectroscopic cubes using unsupervised machine learning techniques. We propose representing the target's signal as a homogeneous set of volumes ...
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(MDPI, 2018)Knowledge of the mental workload induced by a Web page is essential for improving users' browsing experience. However, continuously assessing the mental workload during a browsing task is challenging. To address this issue, ...