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26591 |
Quantifying calcium carbonate and organic carbon content in marine sediments from XRF-scanning spectra with a machine learning approach
Enthalten in Scientific reports Bd. 12, 2.12.2022, Nr. 1, date:12.2022: 1-11
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26592 |
Quantifying compressive strength in limestone powder incorporated concrete with incorporating various machine learning algorithms with SHAP analysis
Enthalten in Asian journal of civil engineering Bd. 26, 14.12.2024, Nr. 2, date:2.2025: 731-746
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26593 |
Quantifying root colonization by a symbiotic fungus using automated image segmentation and machine learning approaches
Enthalten in Scientific reports Bd. 13, 8.9.2023, Nr. 1, date:12.2023: 1-8
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26594 |
Quantifying the effects of neutron dose, dose protraction, age and sex on mouse survival using parametric regression and machine learning on a 21,000-mouse data set
Enthalten in Scientific reports Bd. 13, 9.12.2023, Nr. 1, date:12.2023: 1-13
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26595 |
Quantifying the scale of erosion along major coastal aquifers of Pakistan using geospatial and machine learning approaches
Enthalten in Environmental science and pollution research Bd. 31, 25.4.2024, Nr. 22, date:5.2024: 32746-32765
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26596 |
Quantifying topological indices in bipartite and tripartite graphs using Lyndon words and Python algorithms
Enthalten in International journal of information technology Bd. 17, 30.11.2024, Nr. 2, date:3.2025: 1247-1258
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26597 |
Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning
Enthalten in Scientific reports Bd. 8, 3.8.2018, Nr. 1, date:12.2018: 1-11
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26598 |
Quantifying ultrasonic mouse vocalizations using acoustic analysis in a supervised statistical machine learning framework
Enthalten in Scientific reports Bd. 9, 30.5.2019, Nr. 1, date:12.2019: 1-10
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26599 |
Quantifying uncertainty in machine learning classifiers for medical imaging
Enthalten in International journal of computer assisted radiology and surgery Bd. 17, 12.3.2022, Nr. 4, date:4.2022: 711-718
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26600 |
Quantifying wood decomposition by insects and fungi using computed tomography scanning and machine learning
Enthalten in Scientific reports Bd. 12, 27.9.2022, Nr. 1, date:12.2022: 1-12
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