Publikacje z roku 2023

  1. Advancing water quality monitoring through artificial neural networks : present insights and future opportunities in scientific exploration / Tymoteusz Miller, Danuta Cembrowska-Lech, Anna Kisiel, Maciej Kołodziejczak, Adrianna Krzemińska, Milena Jawor, Klaudia Lewita, Polina Kozlovska, Sofia Mosiundz. // Scientific Collection «InterConf+» : Proceedings of the 7th International Scientific and Practical Conference "Current Issues and Prospects for The Development of Scientific Research", Orléans, France, April 19-20, 2023. 2023, , s.399-409 DOI: 10.51582/interconf.19-20.04.2023.041 (WorkId 35797)
  2. An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture / Danuta Cembrowska-Lech, Adrianna Krzemińska, Tymoteusz Miller, Anna Nowakowska, Cezary Adamski, Martyna Radaczyńska, Grzegorz Mikiciuk, Małgorzata Mikiciuk. // Biology. 2023, , s.1-34 DOI: 10.3390/biology12101298 (WorkId 34561)
  3. Data Science and Plant Metabolomics / Anna Kisiel, Adrianna Krzemińska, Danuta Cembrowska-Lech, Tymoteusz Miller. // Metabolites. 2023, , s.1-19 DOI: 10.3390/metabo13030454 (WorkId 33767)
  4. Harnessing AI for environmental resilience : mitigating heavy metal pollution and advancing sustainable practices in diverse spheres / Tymoteusz Miller, Danuta Cembrowska-Lech, Anna Kisiel, Adrianna Krzemińska, Polina Kozlovska, Milena Jawor, Maciej Kołodziejczak, Irmina Durlik. // Grail of Science. 2023, , s.151-156 DOI: 10.36074/grail-of-science.14.04.2023.027 (WorkId 34265)
  5. Intersectional hybrids of Carex remota with C. otrubae and C. vulpina (Cyperaceae) in Europe / Jacob Koopman, Helena Więcław, Danuta Cembrowska-Lech. // Botanical Journal of the Linnean Society. 2023, , s.350-369 DOI: 10.1093/botlinnean/boad039 (WorkId 35105)
  6. IoT in water quality monitoring : are we really here? / Małgorzata Miller, Anna Kisiel, Danuta Cembrowska-Lech, Irmina Durlik, Tymoteusz Miller. // Sensors. 2023, vol. 23 iss. 2, s.1-12 DOI: 10.3390/s23020960 (WorkId 33249)
  7. Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture / Tymoteusz Miller, Grzegorz Mikiciuk, Anna Kisiel, Małgorzata Mikiciuk, Dominika Paliwoda, Lidia Sas-Paszt, Danuta Cembrowska-Lech, Adrianna Krzemińska, Agnieszka Kozioł and Adam Brysiewicz. // Agriculture. 2023, , s.1-16 DOI: 10.3390/agriculture13081622 (WorkId 34350)
  8. Molecular structure, comparative and phylogenetic analysis of the complete chloroplast genome sequences of weedy rye Secale cereale ssp. segetale / Lidia Skuza, Piotr Androsiuk, Romain Gastineau, Łukasz Paukszto, Jan Paweł Jastrzębski & Danuta Cembrowska-Lech. // Scientific Reports. 2023, , s.1-11 DOI: 10.1038/s41598-023-32587-4 (WorkId 33976)
  9. Nanopriming of barley seeds-a shotgun approach to improve germination under salt stress conditions by regulating of reactive oxygen species / Danuta Cembrowska-Lech, Kinga Rybak. // Plants. 2023, vol. 12 iss. 2, s.1-17 DOI: 10.3390/plants12020405 (WorkId 33259)
  10. Navigating the Sea of Data : a Comprehensive Review on Data Analysis in Maritime IoT Applications / Irmina Durlik, Tymoteusz Miller, Danuta Cembrowska-Lech, Adrianna Krzemińska, Ewelina Złoczowska and Aleksander Nowak. // Applied Sciences. 2023, , s.1-26 DOI: 10.3390/app13179742 (WorkId 34370)
  11. Predictive Modeling of Urban Lake Water Quality Using Machine Learning : A 20-Year Study / Tymoteusz Miller, Irmina Durlik, Krzemińska Adrianna, Anna Kisiel, Danuta Cembrowska-Lech, Ireneusz Spychalski, Tomasz Tuński. // Applied Sciences. 2023, , s.1-20 DOI: 10.3390/app132011217 (WorkId 34649)
  12. Universal mtDNA fragment for Cervidae barcoding species identification using phylogeny and preliminary analysis of machine learning approach / Ewa Filip, Tomasz Strzała, Edyta Stępień & Danuta Cembrowska-Lech. // Scientific Reports. 2023, , s.1-10 DOI: 10.1038/s41598-023-35637-z (WorkId 34132)
  13. From Bioinformatics to Earth Sciences : Harnessing Artificial Intelligence and Machine Learning for a Sustainable Future / scientific editors Tymoteusz Miller, Anna Kisiel, Danuta Cembrowska-Lech. - Chișinau : Eliva Press Global Ltd. part of Eliva Press S.R.L, 2023 (WorkId 34123)
  14. Applied statistics and machine learning in earth sciences : choosing the right approach for modern scientific research / Tymoteusz Miller, Danuta Cembrowska-Lech, Anna Kisiel, Polina Kozlovska, Adrianna Krzemińska, Sofia Mosiundz, Anton Kutsevych, Klaudia Lewita, Milena Jawor. - // W: Grundlagen der modernen wissenschaftlichen Forschung der Sammlung wissenschaftlicher Arbeiten «ΛΌГOΣ» zu den Materialien der IV internationalen wissenschaftlich-praktischen Konferenz, Zürich, 31. März, 2023. Zürich-Vinnytsia / Vorsitzender des Organisationskomitees: Holdenblat M. - Zürich : Boleswa Publishers, Europäische Wissenschaftsplattform, 2023 DOI: 10.36074/logos-31.03.2023.70 (WorkId 37315)
  15. Boosting modern society : advancements and applications of the adaboost algorithm in diverse domains / Miller Tymoteusz, Lewita Klaudia, Krzemińska Adrianna, Kozlovska Polina, Jawor Milena, Cembrowska-Lech Danuta, Kisiel Anna. - // W: Proceedings of the 14th International Scientific and Practical Conference «Science and Practice: Implementation to Modern Society» : Manchester, United Kingdom, April 26-28, 2023 / Editor Anna Svoboda. - Manchester : InterConf Scientific Publishing Center, 2023 (WorkId 35736)
  16. CATboost in a globalized era : enhancing development, education, and cultural integration through cutting-edge algorithmic advancements / Tymoteusz Miller, Krzemińska Adrianna, Kozlovska Polina, Kisiel Anna, Cembrowska-Lech Danuta. - // W: Development, education, culture: integration trends in the modern world : Proceedings of the XIV International Scientific and Practical Conference, Oslo, Norway, April 11-14, 2023 / Pluzhnik Elena, Liudmyla Polyvana, Mushenyk Iryna, Prudka Liudmyla, Marchenko Dmytro, Harchenko Roman, Belei Svitlana, Lidiya Parashchuk, Levon Mariia, Hubal Halyna Mykolaivna. - Oslo, Norway : International Science Group, 2023 (WorkId 37336)
  17. Empowering Biological Sciences Through Machine Learning : Innovations, Challenges, and Educational Implications / Tymoteusz Miller, Danuta Cembrowska-Lech, Jawor Milena, Krzemińska Adrianna, Kozlovska Polina. - // W: Actual issues of the development of science and ensuring the quality of education : Proceedings of the XII International Scientific and Practical Conference / Pluzhnik Elena, Liudmyla Polyvana, Mushenyk Iryna, Prudka Liudmyla, Marchenko Dmytro, Harchenko Roman, Belei Svitlana, Lidiya Parashchuk, Levon Mariia, Hubal Halyna Mykolaivna. - Florence : International Science Group, 2023 (WorkId 35700)
  18. Leveraging machine learning for enhanced earth sciences : problems and scientific solutions / Miller Tymoteusz, Kisiel Anna, Cembrowska-Lech Danuta, Kozlovska Polina, Krzemińska Adrianna, Kołodziejczak Maciej, Lewita Klaudia, Jawor Milena. - // W: Proceedings of the 11th International Scientific and Practical Conference «International Forum: Problems and Scientific Solutions» : Melbourne, Australia, April 6-8, 2023 / Editor Anna Svoboda. - Melbourne : InterConf Scientific Publishing Center, 2023 (WorkId 35734)
  19. Optimizing ship logistics through advanced ai algorithms : revolutionizing the future of maritime research / Tymoteusz Miller, Irmina Durlik, Polina Kozlovska, Adrianna Krzemińska, Milena Jawor, Danuta Cembrowska-Lech, Anna Kisiel, Sofia Mosiundz, Maciej Kołodziejczak. - // W: Scientific method: reality and future trends of researching : I International Scientific and Theoretical Conference - Zagreb : Primedia E-launch LLC, NGO European Scientific Platform, 2023 (WorkId 35782)
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