Katalog der Deutschen Nationalbibliothek

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.
 
 
 


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

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Artikel 791 The Optimal Threshold Selection for High-Frequency Pairs Trading via Supervised Machine Learning Algorithms
Enthalten in Computational economics 1.5.2025: 1-29 		Online Ressource
Artikel 792 Connecting ocean observations with prediction
Enthalten in State of the planet Bd. 5-opsr, 2025: 1-6. 6 S. 		Online Ressource
Artikel 793 Crafting the Future: Machine learning for ocean forecasting
Enthalten in State of the planet Bd. 5-opsr, 2025: 1-9. 9 S. 		Online Ressource
Artikel 794 Data assimilation schemes for ocean forecasting: state of the art
Enthalten in State of the planet Bd. 5-opsr, 2025: 1-12. 12 S. 		Online Ressource
Artikel 795 Unlocking the power of parallel computing: GPU technologies for ocean forecasting
Enthalten in State of the planet Bd. 5-opsr, 2025: 1-6. 6 S. 		Online Ressource
Artikel 796 A Machine Learning Approach for Prediction of Faradaic Efficiency in Electrochemical CO 2 Reduction on Nitrogen‐Doped Carbon
Enthalten in ChemPlusChem 30.04.2025. 9 S. 		Online Ressource
Artikel 797 Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
Enthalten in Knowledge and information systems 30.4.2025: 1-87 		Online Ressource
Artikel 798 Discriminating Deposit and Mineralization Types Using Major Elements and Fluorine in Mica: A Machine Learning Approach
Enthalten in Natural resources research 30.4.2025: 1-27 		Online Ressource
Artikel 799 Improving Streamflow Simulation through Machine Learning-Powered Data Integration and Its Implications for Forecasting in the Western U.S.
Enthalten in EGUsphere 30.04.2025: 1-29. 29 S. 		Online Ressource
Artikel 800 Performance analysis of a parallel-counterflow vortex tube using machine learning methods
Enthalten in Journal of thermal analysis and calorimetry 30.4.2025: 1-19 		Online Ressource


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