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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

25831 - 25840 von 29290
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Artikel 25831 Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods
Enthalten in Scientific reports Bd. 15, 11.4.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 25832 Predicting metastasis in gastric cancer patients: machine learning-based approaches
Enthalten in Scientific reports Bd. 13, 13.3.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 25833 Predicting microbial extracellular electron transfer activity in paddy soils with soil physicochemical properties using machine learning
Enthalten in Science China / Technological sciences Bd. 67, 8.12.2023, Nr. 1, date:1.2024: 259-270
Online Ressource
Artikel 25834 Predicting Microstructure-Sensitive Fatigue-Crack Path in 3D Using a Machine Learning Framework
Enthalten in JOM Bd. 71, 1.7.2019, Nr. 8, date:8.2019: 2680-2694
Online Ressource
Artikel 25835 Predicting mild cognitive impairment progression to Alzheimer’s disease based on machine learning analysis of cortical morphological features
Enthalten in Aging clinical and experimental research Bd. 35, 5.7.2023, Nr. 8, date:8.2023: 1721-1730
Online Ressource
Artikel 25836 Predicting mine water inflow volumes using a decomposition-optimization algorithm-machine learning approach
Enthalten in Scientific reports Bd. 14, 1.8.2024, Nr. 1, date:12.2024: 1-18
Online Ressource
Artikel 25837 Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: evidence from 55,500 individuals from 28 European countries
Enthalten in BMC health services research Bd. 23, 25.5.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 25838 Predicting Model for Device Density of States of Quantum-Confined SiC Nanotube with Magnetic Dopant: An Integrated Approach Utilizing Machine Learning and Density Functional Theory
Enthalten in Silicon Bd. 16, 10.9.2024, Nr. 16, date:11.2024: 5991-6009
Online Ressource
Artikel 25839 Predicting model of I–V characteristics of quantum-confined GaAs nanotube: a machine learning and DFT-based combined framework
Enthalten in Journal of computational electronics Bd. 22, 23.5.2023, Nr. 4, date:8.2023: 999-1009
Online Ressource
Artikel 25840 Predicting moisture content during maize nixtamalization using machine learning with NIR spectroscopy
Enthalten in Theoretical and applied genetics Bd. 134, 3.8.2021, Nr. 11, date:11.2021: 3743-3757
Online Ressource


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