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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.
 
 
 


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

38621 - 38630 von 38813
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Artikel 38621 Value and limitations of machine learning in high-frequency nutrient data for gap-filling, forecasting, and transport process interpretation
Enthalten in Environmental monitoring and assessment Bd. 195, 27.6.2023, Nr. 7, date:7.2023: 1-18
Online Ressource
Artikel 38622 Value of Geologically Derived Features in Machine Learning Facies Classification
Enthalten in Mathematical geosciences Bd. 52, 16.11.2019, Nr. 1, date:1.2020: 5-29
Online Ressource
Artikel 38623 Value of machine learning in predicting TAVI outcomes
Enthalten in Netherlands heart journal Bd. 27, 20.5.2019, Nr. 9, date:9.2019: 443-450
Online Ressource
Artikel 38624 Values and inductive risk in machine learning modelling: the case of binary classification models
Enthalten in European journal for philosophy of science Bd. 11, 26.10.2021, Nr. 4, date:12.2021: 1-27
Online Ressource
Artikel 38625 Van Krevelen diagrams based on machine learning visualize feedstock-product relationships in thermal conversion processes
Enthalten in Communications chemistry Bd. 6, 13.12.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 38626 Variability analysis of soil organic carbon content across land use types and its digital mapping using machine learning and deep learning algorithms
Enthalten in Environmental monitoring and assessment Bd. 197, 10.4.2025, Nr. 5, date:5.2025: 1-32
Online Ressource
Artikel 38627 Variable resolution machine learning optimization of antennas using global sensitivity analysis
Enthalten in Scientific reports Bd. 14, 13.11.2024, Nr. 1, date:12.2024: 1-23
Online Ressource
Artikel 38628 Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches
Enthalten in BMC medical research methodology Bd. 20, 10.12.2020, Nr. 1, date:12.2020: 1-10
Online Ressource
Artikel 38629 Variant-driven early warning via unsupervised machine learning analysis of spike protein mutations for COVID-19
Enthalten in Scientific reports Bd. 12, 3.6.2022, Nr. 1, date:12.2022: 1-14
Online Ressource
Artikel 38630 Variational autoencoder-based techniques for a streamlined cross-topology modeling and optimization workflow in electrical drives
Enthalten in Autonomous intelligent systems Bd. 4, 24.5.2024, Nr. 1, date:12.2024: 1-10
Online Ressource


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