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PreviewIssue DateTitleAuthor(s)
2021Determination of the effect of carbon nanotubes on the microstructure and functional properties of polycarbonate-based polymer nanocomposite materialsLysenkov, E.; Klymenko, L.
2020Cluster model of the porosity of spongy titanium briquettes at the stage of pressingKlymenko, L.; Andreev, V.; Sluchak, O.; Pryshchepov, O.; Shchesiuk, O.
2021Determining the effect of dispersed aluminum particles on the functional properties of polymeric composites based on polyvinylidene fluorideLysenkov, E.; Klymenko, L.
2025Improving the efficiency of damaged buildings detection based on ASPP technologiesDymo, V.; Gozhyj, A.; Kalinina, I.
2021Influence of 3-Glycidoxypropyltriethoxysilane on the Structural Organization of Epoxy-Silica NanocompositesZhyltsova, S. V.; Leonova, N. G.; Lysenkov, E. A.; Klymenko, L. P.
2021Influence of 3-Glycidoxypropyltriethoxysilane on the Structural Organization of Epoxy-Silica NanocompositesZhyltsova, S. V.; Leonova, N. G.; Lysenkov, E. A.; Klymenko, L. P.
2021Features of Intercalation Processes in Polymer Nanocomposites Based on Oligoethylene Glycol and OrganoclayLysenkov, E.; Bilyi, S. A.; Klepko, V. V.; Klymenko, L.
2010Structural optimization of linguistic knowledge base of fuzzy controllersKondratenko, Y. P.; Klymenko, L. P.; Al Zu'bi, E. Y. M.
2013Structural optimization of fuzzy systems' rules base and aggregation models.Kondratenko, Y. P.; Klymenko, L. P.; Al Zu'bi, E. Y. M.
2025Identification of unmanned aerial vehicles using RF fingerprinting and deep learning networksKondratenko, Y.; Sova, I.; Kozlov, O.; Kuzmenko, V.