Poniżej przedstawiamy publikacje naukowe pracowników Uniwersytetu Szczecińskiego powiązane z sztuczną inteligencją.
Zapraszamy do lektury i współpracy naukowej z naszymi naukowcami.
An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture
Tymoteusz Miller The Faculty of Physical, Mathematical and Natural Sciences Abstract This review discusses the transformative potential of integrating multi-omics data and artificial intelligence (AI) in advancing horticultural research, specifically […]
Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications
Tymoteusz Miller The Faculty of Physical, Mathematical and Natural Sciences Abstract The Internet of Things (IoT) is significantly transforming the maritime industry, enabling the generation of vast amounts of data […]
Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture
Tymoteusz Miller The Faculty of Physical, Mathematical and Natural Sciences Abstract Drought conditions pose significant challenges to sustainable agriculture and food security. Identifying microbial strains that can mitigate drought effects […]
Advancing water quality monitoring through artificial neural networks: present insights and future opportunities in scientific exploration
Tymoteusz Miller The Faculty of Physical, Mathematical and Natural Sciences Abstract The increasing demand for clean water resources and the challenges posed by rapid urbanization, industrialization, and climate change have […]
Leveraging random forest techniques for enhanced microbiological analysis: a machine learning approach to investigating microbial communities and their interactions
Tymoteusz Miller The Faculty of Physical, Mathematical and Natural Sciences Abstract The rapid development of high-throughput sequencing technologies has led to an explosion of microbiological data, presenting new challenges and […]
Harnessing ai for environmental resilience: mitigating heavy metal pollution and advancing sustainable practices in diverse spheres
Tymoteusz Miller The Faculty of Physical, Mathematical and Natural Sciences Abstract As the global community faces unprecedented environmental challenges, the application of artificial intelligence (AI) in environmental studies has become […]