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Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.
 
Neuigkeiten Vom 10. September 2025, 13 Uhr, bis 11. September 2025, 22 Uhr, kann es zu Einschränkungen bei der Bereitstellung von Medienwerken kommen. Wir informieren Sie per E-Mail über den aktuellen Stand Ihrer Bestellungen. // From 13:00 on 10 September 2025 until 22:00 on 11 September 2025, there may be restrictions on the provision of media works. We will inform you by email about the current status of your orders.
 
 
 


Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

36771 - 36780 von 37303
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Artikel 36771 Unraveling the determinants of overemployment and underemployment among older workers in Japan: A machine learning approach
Enthalten in The Japanese economic review Bd. 75, 18.11.2024, Nr. 4, date:12.2024: 691-737
Online Ressource
Artikel 36772 Unraveling the impact of abdominal arterial calcifications on kidney transplant waitlist mortality through ensemble machine learning
Enthalten in Scientific reports Bd. 14, 16.10.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 36773 Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method
Enthalten in Scientific reports Bd. 13, 16.9.2023, Nr. 1, date:12.2023: 1-19
Online Ressource
Artikel 36774 Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets
Enthalten in Archives of toxicology Bd. 97, 21.8.2023, Nr. 11, date:11.2023: 2969-2981
Online Ressource
Artikel 36775 Unraveling the Most Important Predictors of Eudaimonic and Hedonic Well-Being in Korean Adults: A Machine Learning Approach
Enthalten in Journal of happiness studies Bd. 25, 22.8.2024, Nr. 7, date:10.2024: 1-22
Online Ressource
Artikel 36776 Unraveling the significance of cuproptosis in hepatocellular carcinoma heterogeneity and tumor microenvironment through integrated single-cell sequencing and machine learning approaches
Enthalten in Discover oncology Bd. 16, 24.5.2025, Nr. 1, date:12.2025: 1-17
Online Ressource
Artikel 36777 Unravelling individual rhythmic abilities using machine learning
Enthalten in Scientific reports Bd. 14, 11.1.2024, Nr. 1, date:12.2024: 1-16
Online Ressource
Artikel 36778 Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters
Enthalten in BMC anesthesiology Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 36779 Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression
Enthalten in Nature Communications Bd. 16, 8.2.2025, Nr. 1, date:12.2025: 1-15
Online Ressource
Artikel 36780 Unsupervised Clustering for a Comparative Methodology of Machine Learning Models to Detect Domain-Generated Algorithms Based on an Alphanumeric Features Analysis
Enthalten in Journal of network and systems management Bd. 32, 2.1.2024, Nr. 1, date:1.2024: 1-38
Online Ressource


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