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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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15931 - 15940 von 16925

	15931	SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B2-2022, 2022: 485-491. 7 S.
	15932	Semi-automated title-abstract screening using natural language processing and machine learning Enthalten in Systematic Reviews Bd. 13, 1.11.2024, Nr. 1, date:12.2024: 1-14
	15933	Semi-Lipschitz functions and machine learning for discrete dynamical systems on graphs Enthalten in Machine learning Bd. 111, 23.3.2022, Nr. 5, date:5.2022: 1765-1797
	15934	Semi-supervised machine-learning classification of materials synthesis procedures Enthalten in npj computational materials Bd. 5, 8.7.2019, Nr. 1, date:12.2019: 1-7
	15935	Semi-supervised machine learning for automated species identification by collagen peptide mass fingerprinting Enthalten in BMC bioinformatics Bd. 19, 26.6.2018, Nr. 1, date:12.2018: 1-9
	15936	Semiconductor Multilayer Nanometrology with Machine Learning Enthalten in Nanomanufacturing and metrology Bd. 6, 4.5.2023, Nr. 1, date:12.2023: 1-18
	15937	SEMORE: SEgmentation and MORphological fingErprinting by machine learning automates super-resolution data analysis Enthalten in Nature Communications Bd. 15, 26.2.2024, Nr. 1, date:12.2024: 1-13
	15938	SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden Enthalten in Genome medicine Bd. 17, 14.1.2025, Nr. 1, date:12.2025: 1-16
	15939	Sensitive analysis of meteorological data and selecting appropriate machine learning model for estimation of reference evapotranspiration Enthalten in Applied water science Bd. 13, 28.2.2023, Nr. 3, date:3.2023: 1-17
	15940	Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI Enthalten in BMC medical imaging Bd. 21, 15.2.2021, Nr. 1, date:12.2021: 1-8

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