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11391 |
Quantification of flexoelectricity in PbTiO3/SrTiO3 superlattice polar vortices using machine learning and phase-field modeling
Enthalten in Nature Communications Bd. 8, 13.11.2017, Nr. 1, date:12.2017: 1-8
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11392 |
Quantification of identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy with machine learning: a post hoc analysis of a diagnostic trial and validation of an external additional trial
Enthalten in Alzheimer's research & therapy Bd. 15, 22.7.2023, Nr. 1, date:12.2023: 1-11
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11393 |
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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11394 |
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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11395 |
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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11396 |
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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11397 |
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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11398 |
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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|
11399 |
QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research
Enthalten in European radiology experimental Bd. 7, 22.3.2023, Nr. 1, date:12.2023: 1-13
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11400 |
Quantitative classification evaluation model for tight sandstone reservoirs based on machine learning
Enthalten in Scientific reports Bd. 14, 5.9.2024, Nr. 1, date:12.2024: 1-20
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