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Rasa Zalakeviciute
Rasa Zalakeviciute
Professor of Climatology, UDLA
Verified email at udla.edu.ec
Title
Cited by
Cited by
Year
Clinical, molecular, and epidemiological characterization of the SARS-CoV-2 virus and the Coronavirus Disease 2019 (COVID-19), a comprehensive literature review
E Ortiz-Prado, K Simbaña-Rivera, L Gómez-Barreno, M Rubio-Neira, ...
Diagnostic microbiology and infectious disease 98 (1), 115094, 2020
5742020
Machine learning approaches for outdoor air quality modelling: A systematic review
Y Rybarczyk, R Zalakeviciute
Applied Sciences 8 (12), 2570, 2018
2222018
Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters
J Kleine Deters, R Zalakeviciute, M Gonzalez, Y Rybarczyk
Journal of Electrical and Computer Engineering 2017 (1), 5106045, 2017
2142017
A global observational analysis to understand changes in air quality during exceptionally low anthropogenic emission conditions
RS Sokhi, V Singh, X Querol, S Finardi, AC Targino, M de Fatima Andrade, ...
Environment international 157, 106818, 2021
1852021
Contrasted Effects of Relative Humidity and Precipitation on Urban PM2.5 Pollution in High Elevation Urban Areas
R Zalakeviciute, J López-Villada, Y Rybarczyk
Sustainability 10 (6), 2064, 2018
1172018
Drastic improvements in air quality in Ecuador during the COVID-19 outbreak
R Zalakeviciute, R Vasquez, D Bayas, A Buenano, D Mejia, R Zegarra, ...
Aerosol and Air Quality Research 20 (8), 1783-1792, 2020
902020
Quantifying decade-long effects of fuel and traffic regulations on urban ambient PM2. 5 pollution in a mid-size South American city
R Zalakeviciute, Y Rybarczyk, J López-Villada, MVD Suarez
Atmospheric Pollution Research 9 (1), 66-75, 2018
682018
Biomonitoring of metal levels in urban areas with different vehicular traffic intensity by using Araucaria heterophylla needles
K Alexandrino, F Viteri, Y Rybarczyk, JEG Andino, R Zalakeviciute
Ecological Indicators 117, 106701, 2020
602020
Global climate change impact on birds: a review of research in Lithuania
M Zalakevicius, R Zalakeviciute
Folia Zoologica 50 (1), 1-17, 2001
582001
Assessing the COVID‐19 impact on air quality: A machine learning approach
Y Rybarczyk, R Zalakeviciute
Geophysical Research Letters 48 (4), e2020GL091202, 2021
572021
Machine learning approach to forecasting urban pollution
Y Rybarczyk, R Zalakeviciute
2016 IEEE Ecuador Technical Chapters Meeting (ETCM), 1-6, 2016
452016
A traffic-based method to predict and map urban air quality
R Zalakeviciute, M Bastidas, A Buenaño, Y Rybarczyk
Applied Sciences 10 (6), 2035, 2020
422020
Chemical characterization of urban PM10 in the Tropical Andes
R Zalakeviciute, Y Rybarczyk, MG Granda-Albuja, MVD Suarez, ...
Atmospheric Pollution Research 11 (2), 343-356, 2020
382020
War impact on air quality in Ukraine
R Zalakeviciute, D Mejia, H Alvarez, X Bermeo, S Bonilla-Bedoya, ...
Sustainability 14 (21), 13832, 2022
302022
Deep learning approach for assessing air quality during COVID-19 lockdown in Quito
PN Chau, R Zalakeviciute, I Thomas, Y Rybarczyk
Frontiers in big Data 5, 842455, 2022
302022
Regression models to predict air pollution from affordable data collections
Y Rybarczyk, R Zalakeviciute
Machine Learning—Advanced Techniques and Emerging Applications, 2018
292018
Accessibility evaluation of mobile applications for monitoring air quality
P Acosta-Vargas, R Zalakeviciute, S Luján-Mora, W Hernandez
Information Technology and Systems: Proceedings of ICITS 2019, 638-648, 2019
242019
Robust Analysis of PM2.5 Concentration Measurements in the Ecuadorian Park La Carolina
W Hernandez, A Mendez, AM Diaz-Marquez, R Zalakeviciute
Sensors 19 (21), 4648, 2019
182019
Analysis of the Information Obtained From PM2.5 Concentration Measurements in an Urban Park
W Hernandez, A Mendez, R Zalakeviciute, AM Diaz-Marquez
IEEE Transactions on Instrumentation and Measurement 69 (9), 6296-6311, 2020
172020
Factors contributing to elevated concentrations of PM2. 5 during wintertime near Boise, Idaho
GR Mwaniki, C Rosenkrance, HW Wallace, BT Jobson, MH Erickson, ...
Atmospheric Pollution Research 5 (1), 96-103, 2014
172014
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