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26571 |
Quantencomputing in der Automobilindustrie
Enthalten in Digitale Welt Bd. 5, 8.3.2021, Nr. 2, date:4.2021: 34-37
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26572 |
Quantification of adulteration in traded ayurvedic raw drugs employing machine learning approaches with DNA barcode database
Enthalten in 3 Biotech Bd. 11, 18.10.2021, Nr. 11, date:11.2021: 1-16
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26573 |
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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26574 |
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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26575 |
Quantification of the concrete freeze–thaw environment across the Qinghai–Tibet Plateau based on machine learning algorithms
Enthalten in Journal of mountain science Bd. 21, 27.1.2024, Nr. 1, date:1.2024: 322-334
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26576 |
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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26577 |
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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26578 |
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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26579 |
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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26580 |
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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