Navigating the sea of data: a comprehensive review on data analysis in maritime IoT applications I Durlik, T Miller, D Cembrowska-Lech, A Krzemińska, E Złoczowska, ... Applied Sciences 13 (17), 9742, 2023 | 24 | 2023 |
An integrated multi-omics and artificial intelligence framework for advance plant phenotyping in horticulture D Cembrowska-Lech, A Krzemińska, T Miller, A Nowakowska, C Adamski, ... Biology 12 (10), 1298, 2023 | 17 | 2023 |
Machine learning approaches for forecasting the best microbial strains to alleviate drought impact in agriculture T Miller, G Mikiciuk, A Kisiel, M Mikiciuk, D Paliwoda, L Sas-Paszt, ... Agriculture 13 (8), 1622, 2023 | 13 | 2023 |
Data science and plant metabolomics A Kisiel, A Krzemińska, D Cembrowska-Lech, T Miller Metabolites 13 (3), 454, 2023 | 6 | 2023 |
Boosting modern society: advancements and applications of the adaboost algorithm in diverse domains T Miller, K Lewita, A Krzemińska, P Kozlovska, M Jawor, ... Scientific Collection «InterConf», 549-555, 2023 | 4 | 2023 |
Harnessing AI for environmental resilience: Mitigating heavy metal pollution and advancing sustainable practices in diverse spheres T Miller, D Cembrowska-Lech, A Kisiel, A Krzemińska, P Kozlovska, ... Grail of Science, 151-156, 2023 | 4 | 2023 |
Leveraging random forest techniques for enhanced microbiological analysis: a machine learning approach to investigating microbial communities and their interactions D Chrobak, M Kołodzieczak, P Kozlovska, A Krzemińska, T Miller Scientific Collection «InterConf+», 386-398, 2023 | 4 | 2023 |
XGBOOST IN ENVIRONMENTAL ECOLOGY: A POWERFUL TOOL FOR SUSTAINABLE INSIGHTS M Tymoteusz, P Kozlovska, A Krzemińska, K Lewita, J Biedrzycka, ... Grail of Science, 163-170, 2023 | 2 | 2023 |
HARNESSING THE POWER OF RANDOM FOREST MACHINE LEARNING IN GLOBAL AGRICULTURE INNOVATION A Krzemińska, T Miller, P Kozlovska, K Lewita Collection of scientific papers «SCIENTIA», 59-65, 2023 | 2 | 2023 |
OPTIMIZING SHIP LOGISTICS THROUGH ADVANCED AI ALGORITHMS: REVOLUTIONIZING THE FUTURE OF MARITIME RESEARCH M Tymoteusz, I Durlik, P Kozlovska, A Krzemińska, M Jawor, ... Collection of scientific papers «SCIENTIA», 126-131, 2023 | 1 | 2023 |
Harnessing machine learning for water resource management: a path towards global and regional sustainable development T Miller, A Kisiel, A Krzemińska, P Kozlovska, S Mosiundz, ... Scientific Collection «InterConf», 335-342, 2023 | 1 | 2023 |
Empowering sustainable agriculture: integrating artificial intelligence in agroecology A Krzemińska, T Miller Харків: ДБТУ, 2024 | | 2024 |
EMPOWERING OCEANIC RESEARCH: LEVERAGING GPT-4 ARCHITECTURE IN THE STUDY OF MARINE AEROSOLS T Miller, K Lewita, P Kozlovska, A Krzemińska, I Durlik Grail of Science, 523-530, 2023 | | 2023 |
PSYCHOLOGICAL IMPACT OF ARTIFICIAL INTELLIGENCE ON THE SCIENCE K Lewita, A Krzemińska, P Kozlovska, T Miller Матеріали конференцій МЦНД, 235-240, 2023 | | 2023 |
PREDICTING PH IN WATER RESERVOIRS USING MACHINE LEARNING TECHNIQUES: A COMPARATIVE STUDY ON WATER QUALITY INDICES P Kozlovska, A Krzemińska, T Miller Біотехнологія XXI століття, 237-239, 2023 | | 2023 |
Advancing water quality monitoring through artificial neural networks: present insights and future opportunities in scientific exploration T Miller, D Cembrowska-Lech, A Kisiel, M Kołodziejczak, A Krzemińska, ... Scientific Collection «InterConf+», 399-409, 2023 | | 2023 |
Deep learning in hydrobiology: unveiling the hidden patterns of aquatic ecosystems T Miller, M Kołodziejczak, K Lewita, A Krzemińska, P Kozlovska, M Jawor Scientific Collection «InterConf», 356-366, 2023 | | 2023 |
APPLIED STATISTICS AND MACHINE LEARNING IN EARTH SCIENCES: CHOOSING THE RIGHT APPROACH FOR MODERN SCIENTIFIC RESEARCH T Miller, D Cembrowska-Lech, A Kisiel, P Kozlovska, A Krzemińska, ... Collection of scientific papers «ΛΌГOΣ», 244-249, 2023 | | 2023 |
Leveraging machine learning for enhanced earth sciences: problems and scientific solutions T Miller, A Kisiel, D Cembrowska-Lech, P Kozlovska, A Krzemińska, ... Scientific Collection «InterConf», 241-250, 2023 | | 2023 |
Data Science and Plant Metabolomics. Metabolites 2023, 13, 454 A Kisiel, A Krzemińska, D Cembrowska-Lech, T Miller | | 2023 |