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"
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25891 - 25900 von 29186
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Artikel 25891 Predicting synthetic mRNA stability using massively parallel kinetic measurements, biophysical modeling, and machine learning
Enthalten in Nature Communications Bd. 15, 6.11.2024, Nr. 1, date:12.2024: 1-11 		Online Ressource
Artikel 25892 Predicting teachers’ research reading: A machine learning approach
Enthalten in International review of education Bd. 70, 3.7.2024, Nr. 3, date:6.2024: 477-496 		Online Ressource
Artikel 25893 Predicting terrestrial heat flow in Egypt using random forest regression: a machine learning approach
Enthalten in Geothermal Energy Bd. 13, 24.4.2025, Nr. 1, date:12.2025: 1-31 		Online Ressource
Artikel 25894 Predicting the Addition of Information Regarding Clinically Significant Adverse Drug Reactions to Japanese Drug Package Inserts Using a Machine-Learning Model
Enthalten in Therapeutic innovation & regulatory science Bd. 58, 22.12.2023, Nr. 2, date:3.2024: 357-367 		Online Ressource
Artikel 25895 Predicting the antenna properties of helicon plasma thrusters using machine learning techniques
Enthalten in Journal of electric propulsion Bd. 3, 5.3.2024, Nr. 1, date:12.2024: 1-24 		Online Ressource
Artikel 25896 Predicting the clothing insulation through machine learning algorithms: A comparative analysis and a practical approach
Enthalten in Building simulation Bd. 17, 16.3.2024, Nr. 5, date:5.2024: 839-855 		Online Ressource
Artikel 25897 Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data
Enthalten in Friction Bd. 12, 2.2.2024, Nr. 6, date:6.2024: 1299-1321 		Online Ressource
Artikel 25898 Predicting the complexity and mortality of polytrauma patients with machine learning models
Enthalten in Scientific reports Bd. 14, 9.4.2024, Nr. 1, date:12.2024: 1-10 		Online Ressource
Artikel 25899 Predicting the Compressive Strength and the Effective Porosity of Pervious Concrete Using Machine Learning Methods
Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 26, 6.9.2022, Nr. 11, date:11.2022: 4664-4679 		Online Ressource
Artikel 25900 Predicting the compressive strength of fiber-reinforced self-consolidating concrete using a hybrid machine learning approach
Enthalten in Innovative infrastructure solutions Bd. 9, 1.11.2024, Nr. 11, date:11.2024: 1-20 		Online Ressource


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