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10581 |
Modelling atomic and nanoscale structure in the silicon–oxygen system through active machine learning
Enthalten in Nature Communications Bd. 15, 2.3.2024, Nr. 1, date:12.2024: 1-12
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10582 |
Modelling bluetongue and African horse sickness vector (Culicoides spp.) distribution in the Western Cape in South Africa using random forest machine learning
Enthalten in Parasites & vectors Bd. 17, 21.8.2024, Nr. 1, date:12.2024: 1-18
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10583 |
Modelling chemical processes in explicit solvents with machine learning potentials
Enthalten in Nature Communications Bd. 15, 20.7.2024, Nr. 1, date:12.2024: 1-11
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10584 |
Modelling of land use land cover changes using machine learning and GIS techniques: a case study in El-Fayoum Governorate, Egypt
Enthalten in Environmental monitoring and assessment Bd. 195, 3.5.2023, Nr. 6, date:6.2023: 1-15
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10585 |
Modelling of pome fruit pollen performance using machine learning
Enthalten in Scientific reports Bd. 15, 26.2.2025, Nr. 1, date:12.2025: 1-9
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10586 |
Modelling of total dissolved solids in water supply systems using regression and supervised machine learning approaches
Enthalten in Applied water science Bd. 11, 14.1.2021, Nr. 2, date:2.2021: 1-16
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10587 |
Modelling Short-Term Appliance Energy Use with Interpretable Machine Learning: A System Identification Approach
Enthalten in The Arabian journal for science and engineering Bd. 48, 12.7.2023, Nr. 11, date:11.2023: 15667-15678
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10588 |
MODELLING THE CHLOROPHYLL-A CONCENTRATION OF LAGUNA LAKE USING HIMAWARI-8 SATELLITE IMAGERY AND MACHINE LEARNING ALGORITHMS FOR NEAR REAL TIME MONITORING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVI-4/W3-2021, 2022: 211-214. 4 S.
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10589 |
Modelling the mechanical properties of concrete produced with polycarbonate waste ash by machine learning
Enthalten in Scientific reports Bd. 14, 21.5.2024, Nr. 1, date:12.2024: 1-24
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10590 |
Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning
Enthalten in Parasites & vectors Bd. 13, 15.4.2020, Nr. 1, date:12.2020: 1-18
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