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Ergebnis der Suche nach: "Machine Learning"
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26011 - 26020 von 29106
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Artikel 26011 Prediction of contrast-associated acute kidney injury with machine-learning in patients undergoing contrast-enhanced computed tomography in emergency department
Enthalten in Scientific reports Bd. 15, 27.2.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 26012 Prediction of coronary artery lesions in children with Kawasaki syndrome based on machine learning
Enthalten in BMC pediatrics Bd. 24, 5.3.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 26013 Prediction of coronary heart disease based on klotho levels using machine learning
Enthalten in Scientific reports Bd. 15, 27.5.2025, Nr. 1, date:12.2025: 1-8
Online Ressource
Artikel 26014 Prediction of COVID-19 patients’ participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches
Enthalten in BMC health services research Bd. 24, 10.7.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 26015 Prediction of creep degradation in Fe-Cr-Ni single-crystal alloys for high-temperature applications: a molecular-dynamics and machine-learning approach
Enthalten in Mechanics of time-dependent materials Bd. 29, 11.12.2024, Nr. 1, date:3.2025: 1-20
Online Ressource
Artikel 26016 Prediction of creep properties of Co–10Al–9W superalloys with machine learning
Enthalten in Journal of materials science Bd. 59, 13.3.2024, Nr. 11, date:3.2024: 4571-4585
Online Ressource
Artikel 26017 Prediction of cross-sectional features of SPR joints based on the punch force-displacement curve using machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 128, 25.8.2023, Nr. 9-10, date:10.2023: 4023-4034
Online Ressource
Artikel 26018 Prediction of cytochrome P450-mediated bioactivation using machine learning models and in vitro validation
Enthalten in Archives of toxicology Bd. 98, 16.3.2024, Nr. 5, date:5.2024: 1457-1467
Online Ressource
Artikel 26019 Prediction of daily sea water temperature in Turkish seas using machine learning approaches
Enthalten in Arabian journal of geosciences Bd. 15, 19.10.2022, Nr. 21, date:11.2022: 1-19
Online Ressource
Artikel 26020 Prediction of damage potential in mainshock–aftershock sequences using machine learning algorithms
Enthalten in Earthquake engineering and engineering vibration Bd. 23, 8.10.2024, Nr. 4, date:10.2024: 919-938
Online Ressource


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