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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

16901 - 16910 von 17194
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Artikel 16901 Unveiling hydrogen chemical states in supersaturated amorphous alumina via machine learning-driven atomistic modeling
Enthalten in npj computational materials Bd. 11, 6.6.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 16902 Unveiling lipoprotein subfractions signature in high-FNPO PCOS: implications for PCOM diagnosis and risk assessment using advanced machine learning models
Enthalten in BMC medicine Bd. 23, 19.5.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 16903 Unveiling new insights into migraine risk stratification using machine learning models of adjustable risk factors
Enthalten in The journal of headache and pain Bd. 26, 6.5.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 16904 Unveiling sustainable tourism themes with machine learning based topic modeling
Enthalten in Discover sustainability Bd. 6, 14.4.2025, Nr. 1, date:12.2025: 1-28
Online Ressource
Artikel 16905 Unveiling the antiviral inhibitory activity of ebselen and ebsulfur derivatives on SARS-CoV-2 using machine learning-based QSAR, LB-PaCS-MD, and experimental assay
Enthalten in Scientific reports Bd. 15, 26.2.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 16906 Unveiling the effect of composition on nuclear waste immobilization glasses’ durability by nonparametric machine learning
Enthalten in npj Materials degradation Bd. 8, 15.4.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 16907 Unveiling the epilepsy enigma: an agile and optimal machine learning approach for detecting inter-ictal state from electroencephalogram signals
Enthalten in International journal of information technology Bd. 16, 23.8.2024, Nr. 8, date:12.2024: 5149-5172
Online Ressource
Artikel 16908 Unveiling the link between lactate metabolism and rheumatoid arthritis through integration of bioinformatics and machine learning
Enthalten in Scientific reports Bd. 14, 22.4.2024, Nr. 1, date:12.2024: 1-19
Online Ressource
Artikel 16909 Unveiling the optimal factor model in Pakistan: a machine learning approach using support vector regression and extreme gradient boosting algorithms
Enthalten in Future University in Egypt: Future business journal Bd. 11, 11.6.2025, Nr. 1, date:12.2025: 1-20
Online Ressource
Artikel 16910 Unveiling the potential of artificial intelligence in revolutionizing disease diagnosis and prediction: a comprehensive review of machine learning and deep learning approaches
Enthalten in European journal of medical research Bd. 30, 26.5.2025, Nr. 1, date:12.2025: 1-36
Online Ressource


16901 - 16910 von 17194
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