Mostrando 10 resultados de: 13
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Advances in Intelligent Systems and Computing(2)
Applied Sciences (Switzerland)(2)
Scientific Reports(2)
Sustainability (Switzerland)(2)
2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016(1)
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Ingeniería sanitaria(8)
Métodos informáticos especiales(3)
Programación informática, programas, datos, seguridad(2)
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Factores que afectan al comportamiento social(1)
Assessing the COVID-19 Impact on Air Quality: A Machine Learning Approach
ArticleAbstract: The worldwide research initiatives on Corona Virus disease 2019 lockdown effect on air quality agreePalabras claves:air pollution, covid-19, quarantine measures, urban air qualityAutores:Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:googlescopusAuthor Correction: The effect of national protest in Ecuador on PM pollution (Scientific Reports, (2021), 11, 1, (17591), 10.1038/s41598-021-96868-6)
OtherAbstract: In the original version of this Article Rasa Zalakeviciute, Katiuska Alexandrino, Danilo Mejia, MarcPalabras claves:Autores:Chau P.N., DANILO MEJIA CORONEL, Diana Gabela, Katiuska Alexandrino, Marco G. Bastidas, Nora H. Oleas, Rasa Zalakeviciute, Rybarczyk Y.P., Santiago Bonilla-Bedoya, Valeria DíazFuentes:googlescopusA Traffic-based method to pbkp_redict 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:scopusContrasted 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:googlescopusAirQ2: Quito air quality monitoring and visualization tool
Conference ObjectAbstract: This work describes the AirQ2: Quito Air Quality Monitoring and Visualization Tool, which is a web aPalabras claves:data visualization, Pollution heatmap, R-Shiny, Temporal profilesAutores:Mario González-Rodríguez, Martín Almeida, Rasa Zalakeviciute, Rodrigo Narango, Rybarczyk Y.P.Fuentes:scopusGradient boosting machine to assess the public protest impact on urban air quality
ArticleAbstract: Political and economic protests build-up due to the financial uncertainty and inequality spreading tPalabras claves:Machine learning, protests, urban pollutionAutores:DANILO MEJIA CORONEL, Katiuska Alexandrino, Marco G. Bastidas, Rasa Zalakeviciute, Rybarczyk Y.P., Santiago Bonilla-Bedoya, Valeria DíazFuentes:scopusEvaluation of the usability of a mobile application for public air quality information
Conference ObjectAbstract: This contribution summarizes the results achieved from a summative usability study considering the ePalabras claves:Air pollution mobile application, User experience, User Interfaces, user studyAutores:Jorge Luis Pérez Medina, Mario González-Rodríguez, Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:scopusEditorial: Statistical Learning for Pbkp_redicting Air Quality
OtherAbstract:Palabras claves:chemical transport model (CTM), deep learning, Forecast, Machine learning, urban pollutionAutores:Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:googlescopusMachine learning approach to forecasting urban pollution
Conference ObjectAbstract: This work addresses the question of how to pbkp_redict fine particulate matter given a combination oPalabras claves:decision tree, fine particulate matter, Machine learning, Pbkp_redictive model, urban pollutionAutores:Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:googlescopus