Artículos Científicos: Envíos recientes
Mostrando publicaciones 1561-1580 de 3897
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Off-line writer verification based on small segments of handwritten text and convolutional neural networks
; Mora, Marco
; ; (2022)
This paper proposes a new method for writer identification based on small fragments of handwritten text randomly obtained from a paragraph. The main contribution of this work is to show that small fragments carry enough ...
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What hides Chile’s electricity mix data: a data science perspective
(2022)In the context of decarbonization and fossil fuel independence, Chile has a great task ahead. The most relevant is to become carbon neutral by 2050 by replacing fossil fuels with clean energy sources, where, besides ...
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Fingerprint classification with the extreme learning machine algorithm for multilayer perceptron
; ; Mora, Marco; ; (2022)
Fingerprint classification comes to be a relevant guarantee for efficient as well as accurate fingerprint identification, in particular in the case of dealing with one-to-many fingerprint identification. Nevertheless, owing ...
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Deep learning algorithm applied to bacteria recognition
(2022)Pathogenic bacteria are harmful microorganisms capable of causing diseases. To fight or eliminate those microorganisms, antibiotics with antimicrobial action have been developed wich can be synthetic or semi synthetic. ...
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Fruit-scan: system to automatically detect raspberry quality using computer vision techniques
Mora, Marco (2022)
Chile ranks tenth among the countries that export raspberries. In the Maule Region there are approximately 1,200 families who obtain their economic livelihood based on raspberry production. Raspberry exporting companies ...
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A new fast training algorithm for autoencoder neural networks based on extreme learning machine
; Mora, Marco; ; ; ; (2022)
Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...
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Classification of diseased and healthy apple leaves through extreme learning machines
; ; ; ; Barrientos, Ricardo (2022)
Diseases in agricultural crops are a risk for fruit productivity and quality. Chile is a fruit exporting country; that needs the development of technologies for diseases prevention and treatment. Farmers have been exploring ...
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Fast tuning of extreme learning machine neural networks based with simple optimization algorithms
; Mora, Marco; ; ; (2022)
Extreme Learning Machine (ELM) is a neural network training paradigm that is characterized by simplicity, speed and high level of accuracy. The tuning of the network parameters is normally carried out with non-linear ...
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Profesores en pandemia: identidad profesional en medios de comunicación escrita
(2022)Este estudio buscó describir e interpretar las teorías subjetivas sobre la identidad profesional docente que se construyen y difunden noticiosamente durante la educación de emergencia por la pandemia de ...
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Prácticas docentes motivadoras en la enseñanza superior: el caso de los programas de salud y pedagogía
(2022)El presente estudio analiza las prácticas motivacionales reportadas por los académicos de programas de educación y salud. Profesores de ambas áreas de conocimiento (n= 392) respondieron a un cuestionario sobre sus ...
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La participación como técnica de gobierno bajo el nuevo sistema de educación pública en Chile
(2022)Desde hace 40años el sistema educativo chileno ha sido sometido a la gestión privada de los servicios públicos, conocida como Nueva Gestión Pública (NGP). Esta promueve la competencia, la rendición de cuentas de altas ...
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Evolution of the volatile organic compounds, phenols and antioxidant capacity during fruit ripening and development of rubus ulmifolius schott fruits
(2023)Nowadays, a growing interest in consumers’ fruit with a high content of health-promoting compounds has been observed. In this sense, wild berries have received special attention based on their high accumulation of phenolic ...
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In situ synthesis of CuO/Cu2O nanoparticle-coating nanoporous alumina membranes with photocatalytic activity under visible light radiation
(2023)We report the synthesis and characterization of CuO/Cu2O film supported on nanoporous alumina membranes (NAMs) and the photocatalytic properties in the removal of the organic pollutant methyl orange (MO). For this purpose, ...
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Anthropometric profile and physical activity level as predictors of postural balance in overweight and obese children
(2023)Overweightness and obesity can negatively influence many activities, including postural balance and locomotion, increasing predisposition to injury and risk of falls due to limitations on the biomechanics of daily living. ...
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Optimal management strategies to maximize carbon capture in forest plantations: a case study with pinus radiata D. Don
(2023)Plantations with fast-growing species play a crucial role in reducing global warming and have great carbon capture potential. Therefore, determining optimal management strategies is a challenge in the management of forest ...
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Cu2Zn(Sn1−xSix)Se4: Structural characterization, vibrational and physical properties of cztse-derivatives
(2023)Herein, we report the structural characterization and vibrational and physical properties of Cu2ZnSn1−xSixSe4 solid solutions synthesized using the ceramic method. X-ray diffraction analysis and Rietveld analysis of the ...
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Frailty index as a predictor of mortality in middle-aged and older people: a prospective analysis of Chilean adults
(2023)We aimed to investigate the association between frailty status and all-cause mortality in middle-aged and older people. We included 2661 individuals aged ≥ 35 from the Chilean National Health Survey 2009–2010. Mortality ...
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Modeling income data via new parametric quantile regressions: formulation, computational statistics, and application
(2023)Income modeling is crucial in determining workers’ earnings and is an important research topic in labor economics. Traditional regressions based on normal distributions are statistical models widely applied. However, income ...
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Eco-epidemiology of rodent-associated trombiculid mites and infection with orientia spp. in southern Chile
(2023)Background Scrub typhus is a potentially severe infection caused by bacteria of the genus Orientia, endemic in Asia-Pacific and recently discovered in southern Chile. The presented study aimed to determine the prevalence ...
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To what extent is dot comparison an appropriate measure of approximate number system?
(2023)Introduction:: Number sense has been systematically measured using dot comparison tasks. However, recent studies have reported that performance on dot comparison might be influenced inhibitory control and visual properties ...