Mostrando 10 resultados de: 23
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Advances in Intelligent Systems and Computing(6)
Applied Sciences (Switzerland)(2)
Atmospheric Chemistry and Physics(2)
Atmospheric Pollution Research(2)
Quito: Universidad de las Américas, 2018(2)
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A Traffic-based method to predict and map urban air quality
ArticleAbstract: As global urbanization, industrialization, and motorization keep worsening air quality, a continuousPalabras claves:Machine-learning-based models, Pollution mapping, urban air qualityAutores:Adrian Buenaño, Marco G. Bastidas, Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:scopusA method to classify digital images by means of statistics of a wavelet decomposition
Conference ObjectAbstract: There is a wide variety of methods for the analysis of textures and the extraction of image charactePalabras claves:Autores:Balleteros F., González-Posada V., Héctor F. Chinchero, José Luís Jimenéz-Martín, Mendez A., Patricia Acosta-Vargas, Rasa Zalakeviciute, Wilmar HernandezFuentes:scopusChemically-resolved aerosol eddy covariance flux measurements in urban Mexico City during MILAGRO 2006
ArticleAbstract: As part of the MILAGRO 2006 field campaign, the exchange of atmospheric aerosols with the urban landPalabras claves:Autores:Alexander M.L., Allwine E., Jimenez J.L., Jobson B.T., Lamb B.K., Molina L.T., Nemitz E., Pressley S.N., Rasa Zalakeviciute, Ulbrich I.M., VanReken T.M., Velasco E.Fuentes:googlescopusClinical, molecular, and epidemiological characterization of the SARS-CoV-2 virus and the Coronavirus Disease 2019 (COVID-19), a comprehensive literature review
ReviewAbstract: Coronaviruses are an extensive family of viruses that can cause disease in both animals and humans.Palabras claves:CORONAVIRUS, covid-19, pandemic, Review, SARS-COV-2Autores:Ana María Gómez-Jaramillo, Andrés López-Cortés, Carlos Barba-Ostria, Cevallos-Robalino D., Claire Muslin, Esteban Ortiz-Prado, Gadian N., Hector Daniel Toalombo Guaman, Hugo Sanches-SanMiguel, Katherine Simbaña-Rivera, Lenin Gómez-Barreno, Linda P. Guamán, Luis Javier Unigarro, Nikolaos C. Kyriakidis, Rasa Zalakeviciute, Rubio-Neira M.Fuentes:googlescopusBiomonitoring of metal levels in urban areas with different vehicular traffic intensity by using Araucaria heterophylla needles
ArticleAbstract: For the first time, Araucaria heterophylla needles were used as a biomonitor to assess the concentraPalabras claves:air pollution, Andean, biomonitor, conifer, TrafficAutores:Fausto Viteri, Juan Ernesto Guevara Andino, Katiuska Alexandrino, Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:googlescopusContrasted effects of relative humidity and precipitation on urban PM<inf>2.5</inf> pollution in high elevation urban areas
ArticleAbstract: Levels of urban pollution can be influenced largely by meteorological conditions and the topographyPalabras claves:Combustion efficiency, precipitation, Relative humidity, Urban PM 2.5Autores:Jesús López-Villada, Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:scopusAccessibility Assessment of Mobile Meteorological Applications for Users with Low Vision
Conference ObjectAbstract: The World Health Organization indicates that more than one billion people worldwide live with some fPalabras claves:accessibility, Application, assessment, Low vision, Mobile application, WeatherAutores:Belén Salvador-Acosta, Jorge Luis Pérez Medina, Katiuska Alexandrino, Mario González-Rodríguez, Patricia Acosta-Vargas, Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:googlescopusENSEMBLE DEEP LEARNING FOR CLASSIFICATION OF POLLUTION PEAKS
Conference ObjectAbstract: The concentration peaks of atmospheric pollutants are the most challenging and important phenomena iPalabras claves:air pollution forecasting, data-driven modelling, deep learning, Machine learningAutores:Chau P.N., Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:googlescopusEddy covariance flux measurements of pollutant gases in urban Mexico City
ArticleAbstract: Eddy covariance (EC) flux measurements of the atmosphere/surface exchange of gases over an urban arePalabras claves:Autores:Allwine E., Coons T., Foster W., Francisco J.López Hernández, Jobson B.T., Lamb B.K., Molina L.T., Pressley S.N., Ramos R., Rasa Zalakeviciute, Velasco E., Westberg H.Fuentes:scopusEditorial: Statistical Learning for Predicting Air Quality
OtherAbstract:Palabras claves:chemical transport model (CTM), deep learning, Forecast, Machine learning, urban pollutionAutores:Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:googlescopus