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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2020 | 1 |
2021 | 2 |
2023 | 1 |
2024 | 2 |
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Page 1
Applying geospatial multi-agent system to model various aspects of tuberculosis transmission.
New Microbes New Infect. 2024 Apr 27;59:101417. doi: 10.1016/j.nmni.2024.101417. eCollection 2024 Jun.
New Microbes New Infect. 2024.
PMID: 38737327
Free PMC article.
Applying machine learning in the investigation of the link between the high-velocity streams of charged solar particles and precipitation-induced floods.
Malinović-Milićević S, Vyklyuk Y, Radovanović MM, Milenković M, Pešić AM, Milovanović B, Popović T, Sydor P, Petrović MD.
Malinović-Milićević S, et al. Among authors: vyklyuk y.
Environ Monit Assess. 2024 Mar 27;196(4):400. doi: 10.1007/s10661-024-12537-x.
Environ Monit Assess. 2024.
PMID: 38536479
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A Managerial Approach towards Modeling the Different Strains of the COVID-19 Virus Based on the Spatial GeoCity Model.
Vyklyuk Y, Nevinskyi D, Chopyak V, Škoda M, Golubovska O, Hazdiuk K.
Vyklyuk Y, et al.
Viruses. 2023 Nov 23;15(12):2299. doi: 10.3390/v15122299.
Viruses. 2023.
PMID: 38140541
Free PMC article.
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Prediction of tropospheric ozone concentration using artificial neural networks at traffic and background urban locations in Novi Sad, Serbia.
Malinović-Milićević S, Vyklyuk Y, Stanojević G, Radovanović MM, Doljak D, Ćurčić NB.
Malinović-Milićević S, et al. Among authors: vyklyuk y.
Environ Monit Assess. 2021 Jan 26;193(2):84. doi: 10.1007/s10661-020-08821-1.
Environ Monit Assess. 2021.
PMID: 33495931
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Modeling and analysis of different scenarios for the spread of COVID-19 by using the modified multi-agent systems - Evidence from the selected countries.
Vyklyuk Y, Manylich M, Škoda M, Radovanović MM, Petrović MD.
Vyklyuk Y, et al.
Results Phys. 2021 Jan;20:103662. doi: 10.1016/j.rinp.2020.103662. Epub 2020 Dec 9.
Results Phys. 2021.
PMID: 33318892
Free PMC article.
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