{"id":18,"date":"2020-11-01T11:56:55","date_gmt":"2020-11-01T13:56:55","guid":{"rendered":"http:\/\/web.vu.lt\/mif\/l.petkevicius\/?page_id=18"},"modified":"2025-11-16T16:26:46","modified_gmt":"2025-11-16T18:26:46","slug":"mokslines-publikacijos","status":"publish","type":"page","link":"http:\/\/web.vu.lt\/mif\/l.petkevicius\/mokslines-publikacijos\/","title":{"rendered":"Mokslin\u0117s publikacijos"},"content":{"rendered":"\n<p>Tyr\u0117jo identifikatoriai:<\/p>\n\n\n<p><span id=\"badgeCont336\"><script type=\"text\/javascript\" src=\"https:\/\/publons.com\/mashlets?el=badgeCont336&amp;rid=K-5034-2014&amp;size=small\"><\/script> <\/p>\n<div itemscope itemtype=\"https:\/\/schema.org\/Person\"><a itemprop=\"sameAs\" content=\"https:\/\/orcid.org\/0000-0003-2416-0431\" href=\"https:\/\/orcid.org\/0000-0003-2416-0431\" target=\"orcid.widget\" rel=\"me noopener noreferrer\" style=\"vertical-align:top;\"><img src=\"https:\/\/orcid.org\/sites\/default\/files\/images\/orcid_16x16.png\" style=\"width:1em;margin-right:.5em;\" alt=\"ORCID iD icon\">https:\/\/orcid.org\/0000-0003-2416-0431<\/a><\/div>\n\n\n\n<p>Straipsniai <em>Clarivate Analytics<\/em> Web of Science leidiniuose turin\u010diuose citavimo rodikl\u012f:<\/p>\n\n\n\n<p>2025:<\/p>\n\n\n\n<ul><li>K\u00f6m\u00fcrc\u00fc, K.; <strong>Petkevi\u010dius, L. <\/strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11242103\">Multispectral Image Caption Unification Using Diffusion and Cycle GAN Models<\/a> \/\/ IEEE Access. <a rel=\"noreferrer noopener\" target=\"_blank\" href=\"https:\/\/doi.org\/10.1109\/ACCESS.2025.3632152\">10.1109\/ACCESS.2025.3632152<\/a><\/li><li>K\u00f6m\u00fcrc\u00fc, K.; <strong>Petkevi\u010dius, L..<\/strong> <a href=\"https:\/\/ieeexplore.ieee.org\/document\/10908656\">MiniCPM-V LLaMA model for image recognition: a case study on satellite datasets<\/a> \/\/ EEE Journal of selected topics in applied earth observations and remote sensing. <a href=\"http:\/\/doi.org\/10.1109\/JSTARS.2025.3547144\">10.1109\/JSTARS.2025.3547144<\/a>.<\/li><li>\u010civilis, A.; <strong>Petkevi\u010dius, L.<\/strong>; \u0160altenis, S.; Torp, K.; Markucevi\u010di\u016bt\u0117-Vinck\u0117, I. <a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/08839514.2025.2474785\">Few-shot learning for triplet-based EV energy consumption estimation<\/a> \/\/ Applied artificial intelligence. <a href=\"http:\/\/doi.org\/10.1080\/08839514.2025.2474785\">10.1080\/08839514.2025.2474785<\/a>.<\/li><li>\u017dil\u0117nait\u0117-Petrulaitien\u0117, D.; Rasmusson, A.; Valki\u016bnien\u0117, R.; Laurinavi\u010dien\u0117, A.; <strong>Petkevi\u010dius, L<\/strong>.; Laurinavi\u010dius, A.. <a href=\"https:\/\/academic.oup.com\/ajcp\/article\/164\/4\/567\/8229562\">Reproducibility of Ki67 Haralick entropy as a prognostic marker in estrogen receptor-positive HER2-negative breast cancer <\/a>\/\/ American journal of clinical pathology,  <a href=\"http:\/\/doi.org\/10.1093\/ajcp\/aqaf081\" data-type=\"URL\" data-id=\"doi.org\/10.1093\/ajcp\/aqaf081\">10.1093\/ajcp\/aqaf081<\/a>.<\/li><\/ul>\n\n\n\n<p>2024:<\/p>\n\n\n\n<ul><li>Grendait\u0117 D., <strong>Petkevi\u010dius L.<\/strong> (2024), <a href=\"https:\/\/ieeexplore.ieee.org\/document\/10436679\">Identification of algal blooms in lakes in the Baltic states using Sentinel-2 data and artificial neural networks<\/a>, IEEE Access, <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2024.3366491 \">https:\/\/doi.org\/10.1109\/ACCESS.2024.3366491 <\/a><\/li><li>Zilenaite-Petrulaitiene, D., Rasmusson, A., Valkiuniene, R. B., Laurinaviciene, A., <strong>Petkevicius, L<\/strong>., &amp; Laurinavicius, A. (2024). <a href=\"https:\/\/journals.plos.org\/plosone\/article\/file?id=10.1371\/journal.pone.0314364&amp;type=printable\">Spatial distributions of CD8 and Ki67 cells in the tumor microenvironment independently predict breast cancer-specific survival in patients with ER+ HER2\u2013and triple-negative breast carcinoma.<\/a>&nbsp;<em>PloS one<\/em>,&nbsp;<em>19<\/em>(11), e0314364.<\/li><li>Zilenaite-Petrulaitiene, D., Rasmusson, A., Besusparis, J., Valkiuniene, R. B., Augulis, R., Laurinaviciene, A., <strong>Petkevi\u010dius L.<\/strong> &amp; Laurinavicius, A. (2024). <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00428-024-03737-4\">Intratumoral heterogeneity of Ki67 proliferation index outperforms conventional immunohistochemistry prognostic factors in estrogen receptor-positive HER2-negative breast cancer<\/a>.&nbsp;<em>Virchows Archiv<\/em>, 1-12, <a href=\"https:\/\/doi.org\/10.1007\/s00428-024-03737-4\">https:\/\/doi.org\/10.1007\/s00428-024-03737-4<\/a><\/li><\/ul>\n\n\n\n<p>2023:<\/p>\n\n\n\n<ul><li>Sasnauskas, P. &amp; <strong>Petkevi\u010dius L<\/strong>. (2023) &#8222;<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/10354328\/\">Symbolic Neural Architecture Search for Differential Equations.<\/a>&#8221;&nbsp;<em>IEEE Access<\/em>, <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2023.3342023\">https:\/\/doi.org\/10.1109\/ACCESS.2023.3342023<\/a>&nbsp;.<\/li><\/ul>\n\n\n\n<p>2022:<\/p>\n\n\n\n<ul><li>\u017dvirblis, T., <strong>Petkevi\u010dius, L.<\/strong>, Bzinkowski, D., Vaitkus, D., Vaitkus, P., Rucki, M., &amp; Kilikevi\u010dius, A. (2022).<a href=\"https:\/\/journals.sagepub.com\/doi\/full\/10.1177\/16878132221102776\" data-type=\"URL\" data-id=\"https:\/\/journals.sagepub.com\/doi\/full\/10.1177\/16878132221102776\"> Investigation of deep learning models on identification of minimum signal length for precise classification of conveyor rubber belt loads.<\/a>&nbsp;<em>Advances in mechanical engineering<\/em>,&nbsp;<em>14<\/em>(6), <a href=\"https:\/\/doi.org\/10.1177\/16878132221102776\">https:\/\/doi.org\/10.1177\/16878132221102776<\/a><\/li><\/ul>\n\n\n\n<p>2021:<\/p>\n\n\n\n<ul><li>Kuodyt\u0117 V, <strong>Petkevi\u010dius L.<\/strong> Education-to-Skill <a href=\"https:\/\/www.mdpi.com\/2076-3417\/11\/13\/5868\">Mapping Using Hierarchical Classification and Transformer Neural Network.<\/a>&nbsp;<em>Applied Sciences<\/em>. 2021; 11(13):5868. https:\/\/doi.org\/10.3390\/app11135868<\/li><li>Daniu\u0161is, P., Juneja, S., Valatka, L., <strong>Petkevi\u010dius L.<\/strong>&nbsp;<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10514-021-09980-x\" data-type=\"URL\" data-id=\"https:\/\/link.springer.com\/article\/10.1007\/s10514-021-09980-x\">Topological navigation graph framework<\/a>.&nbsp;<em>Autonomous Robots<\/em>&nbsp;(2021). https:\/\/doi.org\/10.1007\/s10514-021-09980-x<\/li><li>Baronas, R., Kulys J., <strong>Petkevi\u010dius L.<\/strong> (2021). <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10910-020-01187-2\" data-type=\"URL\" data-id=\"https:\/\/link.springer.com\/article\/10.1007\/s10910-020-01187-2\">Modeling carbohydrates oxidation by oxygen catalyzed by bienzyme glucose dehydrogenase\/laccase system immobilized into microreactor with carbon nanotubes. <\/a><em>Journal of Mathematical Chemistry<\/em>: <strong>59,&nbsp;<\/strong>168\u2013185 (2021). doi:10.1007\/s10910-020-01187-2.<\/li><li>Seniutis M, Petru\u017eyt\u0117 D, Baltr\u016bnait\u0117 M, Vainauskait\u0117 S, <strong>Petkevi\u010dius L.<\/strong> <a href=\"https:\/\/www.mdpi.com\/2071-1050\/13\/12\/6765\">The Impact of Information System on Interactions of Child Welfare Professionals with Managers and Clients<\/a>.&nbsp;<em>Sustainability<\/em>. 2021; 13(12):6765. https:\/\/doi.org\/10.3390\/su13126765<\/li><\/ul>\n\n\n\n<p>2020:<\/p>\n\n\n\n<ul><li>Bagdonavi\u010dius V., <strong>Petkevi\u010dius L.<\/strong> (2020). <a href=\"https:\/\/www.mdpi.com\/2227-7390\/8\/12\/2156\">Multiple Outlier Detection Tests for Parametric Models&nbsp;<\/a>. Mathematics, doi:<a href=\"https:\/\/doi.org\/10.3390\/math8122156\">10.3390\/math8122156<\/a><\/li><li>Bagdonavi\u010dius V., <strong>Petkevi\u010dius L.<\/strong> (2020). <a href=\"https:\/\/link.springer.com\/article\/10.1007%2Fs00184-019-00731-8\" data-type=\"URL\" data-id=\"https:\/\/link.springer.com\/article\/10.1007%2Fs00184-019-00731-8\">A new multiple outliers identification method in linear regression<\/a>. Metrika, doi:10.1007\/s00184-019-00731-8<\/li><\/ul>\n\n\n\n<p>2019:<\/p>\n\n\n\n<ul><li>\u017dilinskas, A., Baronas, R., Litvinas, L. &amp; <strong>Petkevi\u010dius, L.<\/strong> (2019). <a href=\"https:\/\/www.journals.vu.lt\/nonlinear-analysis\/article\/view\/14849\" data-type=\"URL\" data-id=\"https:\/\/www.journals.vu.lt\/nonlinear-analysis\/article\/view\/14849\">Multi-objective optimization and decision visualization of batch stirred tank reactor based on spherical catalyst particles<\/a>, Nonlinear Analysis: Modelling and Control, 24(6), p. 1019\u20131033. doi: 10.15388\/NA.2019.6.10. <\/li><li>Baronas, R., Kulys J., <strong>Petkevi\u010dius L.<\/strong> (2019).<a href=\"https:\/\/link.springer.com\/article\/10.1007%2Fs10910-018-0954-x\" data-type=\"URL\" data-id=\"https:\/\/link.springer.com\/article\/10.1007%2Fs10910-018-0954-x\"> Computational modeling of batch stirred tank reactor based on spherical catalyst particles<\/a>. Journal of Mathematical Chemistry, doi:10.1007\/S10910-018-0954-X. <\/li><\/ul>\n\n\n\n<p>2018:<\/p>\n\n\n\n<ul><li>Baronas, R., Kulys J., <strong>Petkevi\u010dius L.<\/strong> (2018). <a href=\"https:\/\/www.journals.vu.lt\/nonlinear-analysis\/article\/view\/13196\" data-type=\"URL\" data-id=\"https:\/\/www.journals.vu.lt\/nonlinear-analysis\/article\/view\/13196\">Modelling the enzyme catalysed substrate conversion in a microbioreactor acting in continuous flow mode. Nonlinear Analysis: Modelling and Control<\/a>, 23(3), 437-456. doi:10.15388\/NA.2018.3.9<\/li><li>Neverauskiene, A., Maciusovic, M., Burkanas, M., Griciene, B., <strong>Petkevicius, L.,<\/strong> Zaleckas, L., Tamosiunas A. &amp; Venius, J. (2018). <a href=\"https:\/\/www.ejradiology.com\/article\/S0720-048X(18)30210-9\/fulltext\" data-type=\"URL\" data-id=\"https:\/\/www.ejradiology.com\/article\/S0720-048X(18)30210-9\/fulltext\">Image based simulation of the low dose computed tomography images suggests 13 mAs 120 kV suitability for non-syndromic craniosynostosis diagnosis without iterative reconstruction algorithms<\/a>. European Journal of Radiology, 105, 168-174. doi:10.1016\/j.ejrad.2018.06.005<\/li><li>Petrulis, A., <strong>Petkevi\u010dius, L.,<\/strong> Vitta, P., Vaicekauskas, R., &amp; \u017dukauskas, A. (2017). <a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/15502724.2017.1377085\" data-type=\"URL\" data-id=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/15502724.2017.1377085\">Exploring Preferred Correlated Color Temperature in Outdoor Environments Using a Smart Solid-State Light Engine. <\/a>LEUKOS, 14(2), 95-106. doi:10.1080\/15502724.2017.1377085<\/li><\/ul>\n\n\n\n<p>2016:<\/p>\n\n\n\n<ul><li>\u010celutkien\u0117, J., Burneikait\u0117, G., <strong>Petkevi\u010dius, L.,<\/strong> Balkevi\u010dien\u0117, L., &amp; Laucevi\u010dius, A. (2016). <a href=\"https:\/\/cardiovascularultrasound.biomedcentral.com\/articles\/10.1186\/s12947-016-0055-6\" data-type=\"URL\" data-id=\"https:\/\/cardiovascularultrasound.biomedcentral.com\/articles\/10.1186\/s12947-016-0055-6\">Combination of single quantitative parameters into multiparametric model for ischemia detection is not superior to visual assessment during dobutamine stress echocardiography. Cardiovascular ultrasound<\/a>, 14(1), 13. doi:10.1186\/s12947-016-0055-6<\/li><\/ul>\n\n\n\n<p>Tarptautini\u0173 recenzuojam\u0173 konferencij\u0173 darbai:<\/p>\n\n\n\n<ul><li>Petkevicius, L., Saltenis, S., Civilis, A., &amp; Torp, K. (2021). Probabilistic Deep Learning for Electric-Vehicle Energy-Use Prediction. In 17th International Symposium on Spatial and Temporal Databases (pp. 85-95).<\/li><li>\u017dvirblis, T., Petkevi\u010dius, L., Vaitkus, P., \u0160abanovi\u010d, E., Skrickij, V.,  Kilikevi\u010dius, A. (2021). Investigation of Deep Neural Networks for Hypoid Gear Signal Classification to Identify Anomalies. In 2020 IEEE 8th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE) (pp. 1-6). IEEE.<\/li><li>Jonaityt\u0117, I.,  Petkevi\u010dius, L. (2021). Analysis of Information Compression of Medical Images for Survival Models. In 2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) (pp. 1-6). IEEE.<\/li><li>Brusokas, J., Petkevi\u010dius L. (2020) Analysis of Deep Neural Network Architectures and Similarity Metrics for Low-Dose CT Reconstruction. IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream). IEEE. <\/li><li>Petkevi\u010dius L. (2019). Applying Homotopy Perturbation Method to Non-Linear Differential Equations. In ESM 2019: The 33rd annual European Simulation and Modelling Conference, (pp. 1-3). <\/li><li>Petkevi\u010dius L., Baronas, R. (2019). Modeling and simulation of porous multi layer microbioreactors. In ECMS 2019: Communications of the ECMS, Vol. 33, Issue 1, (pp. 190-196). <\/li><li>J. Brusokas, Petkevi\u010dius L. (2019). Numerical analysis of SLSSIM similarity on medical X-ray image domain. Proceedings of the XXIV International Master and Phd Students Conference \u201cInformation Society\u201d (IVUS 2019) (pp. 119-124). <\/li><li>Petkevi\u010dius L., Baronas, R. (2018). Numerical analysis of the dynamics of reactant conversion in batch stirred tank reactor. Advances in information, electronic and electrical engineering (AIEEE), 2018 (pp. 1-6). <\/li><li>Petkevi\u010dius L., Baronas, R. (2017). Numerical Simulation and Analysis of Enzyme-Catalysed Substrate Conversion in a Microbioreactor. In SIMUL 2017: The Ninth International Conference on Advances in System Simulation (pp. 1-6). <\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Tyr\u0117jo identifikatoriai: Straipsniai Clarivate Analytics Web of Science leidiniuose turin\u010diuose citavimo rodikl\u012f: 2025: K\u00f6m\u00fcrc\u00fc, K.; Petkevi\u010dius, L. Multispectral Image Caption Unification Using Diffusion and Cycle GAN Models \/\/ IEEE Access. 10.1109\/ACCESS.2025.3632152 K\u00f6m\u00fcrc\u00fc, K.; Petkevi\u010dius, L.. MiniCPM-V LLaMA model for image recognition: a case study on satellite datasets \/\/ EEE Journal of selected topics in applied [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/web.vu.lt\/mif\/l.petkevicius\/wp-json\/wp\/v2\/pages\/18"}],"collection":[{"href":"http:\/\/web.vu.lt\/mif\/l.petkevicius\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/web.vu.lt\/mif\/l.petkevicius\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/web.vu.lt\/mif\/l.petkevicius\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/web.vu.lt\/mif\/l.petkevicius\/wp-json\/wp\/v2\/comments?post=18"}],"version-history":[{"count":26,"href":"http:\/\/web.vu.lt\/mif\/l.petkevicius\/wp-json\/wp\/v2\/pages\/18\/revisions"}],"predecessor-version":[{"id":85,"href":"http:\/\/web.vu.lt\/mif\/l.petkevicius\/wp-json\/wp\/v2\/pages\/18\/revisions\/85"}],"wp:attachment":[{"href":"http:\/\/web.vu.lt\/mif\/l.petkevicius\/wp-json\/wp\/v2\/media?parent=18"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}