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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"
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38651 - 38660 von 38717

	38651	When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days Enthalten in Machine learning Bd. 113, 26.3.2024, Nr. 5, date:5.2024: 2765-2794
	38652	When not to use machine learning: A perspective on potential and limitations Enthalten in Materials Research Society: MRS bulletin Bd. 47, 21.10.2022, Nr. 9, date:9.2022: 968-974
	38653	When physics meets machine learning: a survey of physics-informed machine learning Enthalten in Machine learning for computational science and engineering Bd. 1, 7.5.2025, Nr. 1, date:6.2025: 1-23
	38654	When will China’s industrial carbon emissions peak? Evidence from machine learning Enthalten in Environmental science and pollution research Bd. 30, 27.3.2023, Nr. 20, date:4.2023: 57960-57974
	38655	Where Is the Geography? A Study of the Predictors of Obesity Using UK Biobank Data and Machine Learning Enthalten in Journal of geovisualization and spatial analysis Bd. 7, 12.6.2023, Nr. 2, date:12.2023: 1-21
	38656	Where you go is who you are: a study on machine learning based semantic privacy attacks Enthalten in Journal of Big Data Bd. 11, 12.3.2024, Nr. 1, date:12.2024: 1-31
	38657	Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms? Enthalten in Biomedical engineering online Bd. 22, 29.8.2023, Nr. 1, date:12.2023: 1-25
	38658	Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models Enthalten in Environmental science and pollution research Bd. 31, 15.2.2024, Nr. 13, date:3.2024: 19500-19515
	38659	Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach Enthalten in Cardiovascular diabetology Bd. 23, 21.6.2024, Nr. 1, date:12.2024: 1-13
	38660	Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model Enthalten in Medical & biological engineering & computing Bd. 60, 11.5.2022, Nr. 7, date:7.2022: 2039-2049

38651 - 38660 von 38717

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