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scopus(27)
Factors contributing to elevated concentrations of PM<inf>2.5</inf> during wintertime near Boise, Idaho
ArticleAbstract: Wintertime chemical composition of water-soluble particulate matter with aerodynamic diameter less tPalabras claves:Atmospheric inversion, Boise, Nitrate, Particulate material, Treasure ValleyAutores:Erickson M.H., Hardy R.J., Lamb B.K., Mwaniki G.R., Rasa Zalakeviciute, Rosenkrance C., Tom Jobson B., VanReken T.M., Will Wallace H.Fuentes:googlescopusEvaluation of Open Source Mobile Phone Weather Applications
Conference ObjectAbstract: The quality of our everyday lives undoubtedly depends on our alertness for upcoming weather conditioPalabras claves:Evaluation, Mobile Applications, WeatherAutores:Jorge Luis Pérez Medina, Katiuska Alexandrino, Mario González-Rodríguez, Patricia Acosta-Vargas, Rasa ZalakeviciuteFuentes:googlescopusEvaluation of smart phone open source applications for air pollution
Conference ObjectAbstract: Global industrialization, urbanization and technological development have been rapidly changing thePalabras claves:air pollution, Evaluation, Mobile ApplicationsAutores:Jorge Luis Pérez Medina, Katiuska Alexandrino, Patricia Acosta-Vargas, Rasa Zalakeviciute, Wilmar HernandezFuentes:googlescopusGeneral Aspects of the Effect of Climate and Climate Change on Ecosystems and on the Biology and Ecology of the Flora and Fauna
ArticleAbstract:Palabras claves:Autores:Rasa Zalakeviciute, Žalakevičius M.Fuentes:googlescopusDeep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito
ArticleAbstract: Weather Normalized Models (WNMs) are modeling methods used for assessing air contaminants under a buPalabras claves:air pollution, covid-19, data-driven modeling and optimization, deep learning - artificial neural network (DL-ANN), Machine learningAutores:Chau P.N., Rasa Zalakeviciute, Rybarczyk Y.P., Thomas I.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:googlescopusEditorial: 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:googlescopusA global observational analysis to understand changes in air quality during exceptionally low anthropogenic emission conditions
ArticleAbstract: This global study, which has been coordinated by the World Meteorological Organization Global AtmospPalabras claves:Carbon monoxide, covid-19, Nitrogen dioxide, Ozone, particulate matter, sulphur dioxideAutores:Anand V., Andrade M.d.F., Arbilla G., Badali K., Baklanov A., Beig G., Belalcazar L.C., Bolignano A., Brimblecombe P., Camacho P., Carmichael G., Casallas A., Charland J.P., Choi J., Chourdakis E., Coll I., Collins M., Cyrys J., da Silva C.M., Di Giosa A.D., Di Leo A., Ferro C., Finardi S., Garland R.M., Gavidia-Calderon M., Gayen A., Ginzburg A., Godefroy F., Gonzalez Y.A., Guevara-Luna M., Haque S.M., Havenga H., Herod D., Hõrrak U., Hussein T., Ibarra S., Jaimes M., Kaasik M., Khaiwal R., Kim J., Kong S., Kousa A., Kukkonen J., Kulmala M., Kuula J., La Violette N., Lanzani G., Liu X., MacDougall S., Manseau P.M., Marchegiani G., Massagué J., McDonald B., Mishra S.V., Molina L.T., Mooibroek D., Mor S., Moussiopoulos N., Murena F., Niemi J.V., Noe S., Nogueira T., Norman M., Pavlovic R., Pérez-Camaño J.L., Petäjä T., Peuch V.H., Piketh S., Querol X., Rasa Zalakeviciute, Rathod A., Reid K., Ren L., Retama A., Rivera O., Rojas N.Y., Rojas-Quincho J.P., San José R., Sánchez-Ccoyllo O., Seguel R.J., Sillanpää S., Singh V., Sokhi R.S., Su Y., Tapper N., Tarasova O., Targino A.C., Terrazas A., Timonen H., Toscano D., Tsegas G., Velders G.J.M., Vlachokostas C., von Schneidemesser E., VPM R., Yadav R., Zavala M.Fuentes:googlescopusChemically-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:googlescopus