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Leipzig: Freitag, 31. Oktober 2025: Die Deutsche Nationalbibliothek in Leipzig ist geschlossen. Die Ausstellungen des Deutschen Buch- und Schriftmuseums sind von 10 bis 18 Uhr geöffnet. // Friday, 31 October 2025: The German National Library in Leipzig will be closed. The exhibitions of the German Museum of Books and Writing will open from 10:00 to 18:00.

Ergebnis der Suche nach: "Machine Learning"
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	291	Calibrating a large-domain land/hydrology process model in the age of AI: the SUMMA CAMELS emulator experiments Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 18: 4515-4537. 23 S.
	292	Infilling of missing rainfall radar data with a memory-assisted deep learning approach Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 15: 3687-3701. 15 S.
	293	Towards a global spatial machine learning model for seasonal groundwater level predictions in Germany Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 15: 3405-3433. 29 S.
	294	The value of hydroclimatic teleconnections for snow-based seasonal streamflow forecasting in central Asia Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 14: 3055-3071. 17 S.
	295	Groundwater head responses to droughts across Germany Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 13: 2925-2950. 26 S.
	296	Patient-specific gingival recession system based on periodontal disease prediction Enthalten in International journal of computerized dentistry Bd. 28, 2025, Nr. 1: 35-45
	297	Front Cover: Accelerating the Structure Exploration of Diverse Bi–Pt Nanoclusters via Physics‐Informed Machine Learning Potential and Particle Swarm Optimization (ChemPhysChem 19/2025) Enthalten in ChemPhysChem Bd. 26, 2025, Nr. 19. 1 S.
	298	Aerosol type classification with machine learning techniques applied to multiwavelength lidar data from EARLINET Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 19: 12549-12567. 19 S.
	299	Global ionospheric sporadic <italic>E</italic> intensity prediction from GNSS RO using a novel stacking machine learning method incorporated with physical observations Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 11517-11534. 18 S.
	300	A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 2: Spatial–temporal patterns of convective organisation Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10797-10822. 26 S.

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

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Ergebnis der Suche nach: "Machine Learning"
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