| dc.contributor.author | Dohnálek, Pavel | |
| dc.contributor.author | Dvorský, Marek | |
| dc.contributor.author | Gajdoš, Petr | |
| dc.contributor.author | Michalek, Libor | |
| dc.contributor.author | Šebesta, Roman | |
| dc.contributor.author | Vozňák, Miroslav | |
| dc.date.accessioned | 2015-01-13T14:09:07Z | |
| dc.date.available | 2015-01-13T14:09:07Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Elektronika ir Elektrotechnika. 2014, vol. 20, no. 5, p. 123-126. | cs |
| dc.identifier.issn | 1392-1215 | |
| dc.identifier.uri | http://hdl.handle.net/10084/106305 | |
| dc.description.abstract | This article describes the effect of the weather on radio wave propagation in a mobile telecommunication network. The research is focused on urban and countryside environments where a correlation between the received signal power level and weather conditions is found using the Random Forest algorithm as a signal level approximator. The results achieved in this paper clearly indicate that it is possible to predict the behaviour of the received power level in relationship to atmospheric phenomena. | cs |
| dc.language.iso | en | cs |
| dc.publisher | Kaunas University of Technology, Department of Electronics Engineering | cs |
| dc.relation.ispartofseries | Elektronika ir Elektrotechnika | cs |
| dc.relation.uri | http://dx.doi.org/10.5755/j01.eee.20.5.7112 | cs |
| dc.title | A signal strength fluctuation prediction model based on the random forest algorithm | cs |
| dc.type | article | cs |
| dc.identifier.doi | 10.5755/j01.eee.20.5.7112 | |
| dc.type.status | Peer-reviewed | cs |
| dc.description.source | Web of Science | cs |
| dc.description.volume | 20 | cs |
| dc.description.issue | 5 | cs |
| dc.description.lastpage | 126 | cs |
| dc.description.firstpage | 123 | cs |
| dc.identifier.wos | 000340681800024 | |