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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25901 - 25910 von 29188
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Artikel 25901 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 25902 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
Artikel 25903 Predicting the compressive strength of high-performance concrete using an interpretable machine learning model
Enthalten in Scientific reports Bd. 14, 16.11.2024, Nr. 1, date:12.2024: 1-18 		Online Ressource
Artikel 25904 Predicting the compressive strength of ultra-high-performance concrete using a decision tree machine learning model enhanced by the integration of two optimization meta-heuristic algorithms
Enthalten in Journal of engineering and applied science Bd. 71, 14.2.2024, Nr. 1, date:12.2024: 1-17 		Online Ressource
Artikel 25905 Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive testing
Enthalten in Journal of civil structural health monitoring Bd. 10, 6.3.2020, Nr. 3, date:7.2020: 389-403 		Online Ressource
Artikel 25906 Predicting the cooling and heating loads of energy efficient buildings: a hybrid machine learning approach
Enthalten in Cluster computing Bd. 28, 28.4.2025, Nr. 5, date:10.2025: 1-18 		Online Ressource
Artikel 25907 Predicting the crystalline phase generation effectively in monosized granular matter using machine learning
Enthalten in Granular matter Bd. 24, 1.12.2021, Nr. 1, date:2.2022: 1-13 		Online Ressource
Artikel 25908 Predicting the daily closing price of selected shares on the Dhaka Stock Exchange using machine learning techniques
Enthalten in SN business & economics Bd. 1, 24.3.2021, Nr. 4, date:4.2021: 1-16 		Online Ressource
Artikel 25909 Predicting the daily return direction of the stock market using hybrid machine learning algorithms
Enthalten in Financial innovation Bd. 5, 15.6.2019, Nr. 1, date:12.2019: 1-20 		Online Ressource
Artikel 25910 Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models
Enthalten in BMC medical informatics and decision making Bd. 23, 25.9.2023, Nr. 1, date:12.2023: 1-10 		Online Ressource


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