Browsing by Subject "Machine learning"
Now showing items 1-20 of 28
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(Taylor & Francis, 2020)In this paper, we present an automatic method, without human supervision, for the detection and classification of blue whale vocalizations from passive acoustic monitoring (PAM) data using Hidden Markov Model technology ...
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(Universidad de Chile, 2022)
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(Springer, 2023)Since its origins, medicine has been more linked to the cure of diseases than to their prevention. This is due to multiple factors, training of health professionals aimed at curing diseases, lack of quality data, processing ...
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(Institute of Electrical and Electronics Engineers (IEEE), 2020)Due to the long train marshaling and complex line conditions, the operating modes in heavy haul rail systems frequently change when trains travel. Improper traction or braking operation made by drivers will increase the ...
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(Universidad de Chile, 2019)La empatía en la humanidad es un elemento fundamental para construir una sociedad justa. A su vez la empatía puede ser modulada por diferentes factores, como la emoción que tiene un individuo. Por ende la música, como ...
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(Universidad de Chile, 2022)Los memes son un tipo de imagen muy particular, la cual se ha ganado gran popularidad con el pasar de los últimos años. Esto gracias principalmente a las redes sociales y otras fuentes de Internet, así como también a la ...
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(World Scientific Publishing Co. Pte Ltd, 2019)Fluid-mechanical and morphological parameters are recognized as major factors in the rupture risk of human aneurysms. On the other hand, it is well known that a lot of machine learning tools are available to study a variety ...
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(Universidad de Chile, 2022)
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(Elsevier, 2020)Tremendous advances in different areas of knowledge are producing vast volumes of data, a quantity so large that it has made necessary the development of new computational algorithms. Among the algorithms developed, we ...
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(Elsevier Ltd, 2019)Objective: Because of high variability, tear film osmolarity measures have been questioned in dry eye assessment. Understanding the origin of such variability would aid data interpretation. This study aims to evaluate ...
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(Elsevier, 2022)Despite years of research, the mechanisms governing the onset, relapse, symptomatology, and treatment of schizophrenia (SZ) remain elusive. The lack of appropriate analytic tools to deal with the heterogeneity and complexity ...
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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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(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 ...