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Adrianna Łobodzińska
Adrianna Łobodzińska
其他姓名Adrianna Krzemińska
Uniwersytet Szczeciński
在 stud.usz.edu.pl 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
242023
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
172023
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
132023
Data science and plant metabolomics
A Kisiel, A Krzemińska, D Cembrowska-Lech, T Miller
Metabolites 13 (3), 454, 2023
62023
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
42023
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
42023
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
42023
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
22023
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
22023
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
12023
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
12023
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
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