Katalog der Deutschen Nationalbibliothek

Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. Die Ausstellungen des Deutschen Buch- und Schriftmuseums sind von 10 bis 18 Uhr geöffnet. Die Ausstellungen des Deutschen Exilarchivs 1933-1945 sind von 9 bis 21:30 Uhr geöffnet. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations. The exhibitions of the German Museum of Books and Writing will open from 10:00 to 18:00. The exhibitions of the German Exile Archive 1933–1945 will be open from 9:00 to 21:30.
 
 
 


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

25921 - 25930 von 29159
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Artikel 25921 Predicting the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms
Enthalten in European journal of medical research Bd. 29, 23.12.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 25922 Predicting the Soft Error Vulnerability of Parallel Applications Using Machine Learning
Enthalten in International journal of parallel programming Bd. 49, 28.3.2021, Nr. 3, date:6.2021: 410-439
Online Ressource
Artikel 25923 Predicting the spatial distribution of stable isotopes in precipitation using a machine learning approach: a comparative assessment of random forest variants
Enthalten in GEM Bd. 14, 12.6.2023, Nr. 1, date:12.2023: 1-19
Online Ressource
Artikel 25924 Predicting the Stability of Rock Slopes in the Presence of Diverse Joint Networks and External Factors Using Machine Learning Algorithms
Enthalten in Mining, metallurgy & exploration Bd. 41, 19.8.2024, Nr. 5, date:10.2024: 2421-2440
Online Ressource
Artikel 25925 Predicting the stereoselectivity of chemical reactions by composite machine learning method
Enthalten in Scientific reports Bd. 14, 27.5.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 25926 Predicting the strength of alkali-activated masonry blocks using machine learning models: geopolymer mortar with quarry waste, rice husk ash, and eggshell ash
Enthalten in Journal of building pathology and rehabilitation Bd. 10, 28.1.2025, Nr. 1, date:6.2025: 1-25
Online Ressource
Artikel 25927 Predicting the success of startups using a machine learning approach
Enthalten in Journal of innovation and entrepreneurship Bd. 13, 28.10.2024, Nr. 1, date:12.2024: 1-27
Online Ressource
Artikel 25928 Predicting the targets of IRF8 and NFATc1 during osteoclast differentiation using the machine learning method framework cTAP
Enthalten in BMC genomics Bd. 23, 7.1.2022, Nr. 1, date:12.2022: 1-18
Online Ressource
Artikel 25929 Predicting the time to get back to work using statistical models and machine learning approaches
Enthalten in BMC medical research methodology Bd. 24, 29.11.2024, Nr. 1, date:12.2024: 1-8
Online Ressource
Artikel 25930 Predicting the ultimate tensile strength of AISI 1045 steel and 2017-T4 aluminum alloy joints in a laser-assisted rotary friction welding process using machine learning: a comparison with response surface methodology
Enthalten in The international journal of advanced manufacturing technology Bd. 116, 30.6.2021, Nr. 3-4, date:9.2021: 1247-1257
Online Ressource


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