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Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.

Ergebnis der Suche nach: "Machine Learning"
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61 - 70 von 20133

	61	Direct assimilation of ground-based microwave radiometer observations with machine learning bias correction based on developments of RTTOV-gb v1.0 and WRFDA v4.5 Enthalten in Geoscientific model development Bd. 19, 2026, Nr. 2: 731-754. 24 S.
	62	A modelling system for identification of maize ideotypes, optimal sowing dates and nitrogen fertilization under climate change – PREPCLIM-v1 Enthalten in Geoscientific model development Bd. 19, 2026, Nr. 2: 627-645. 19 S.
	63	Enhancing Accuracy of Indoor Air Quality Sensors via Automated Machine Learning Calibration Enthalten in Atmospheric measurement techniques Bd. 19, 2026, Nr. 2: 603-615. 13 S.
	64	Retrieval of aerosol composition from spectral aerosol optical depth and optical properties using a machine learning approach Enthalten in Atmospheric measurement techniques Bd. 19, 2026, Nr. 2: 421-436. 16 S.
	65	Sustainable prediction of compression index in fine-grained soils using machine learning techniques Enthalten in Open Geosciences Bd. 18, 2026, Nr. 1. 19 S.
	66	Urban flood disaster risk assessment and prediction based on variable fuzzy recognition and machine learning methods Enthalten in Open Geosciences Bd. 18, 2026, Nr. 1. 18 S.
	67	A novel global gridded ocean oxygen product derived from a neural network emulator and in-situ observations Enthalten in Earth system science data Bd. 18, 2026, Nr. 1: 287-308. 22 S.
	68	GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features Enthalten in Earth system science data Bd. 18, 2026, Nr. 1: 77-95. 19 S.
	69	Dynamic concept drift detection using an integrated machine learning model with error-based Page-Hinkley Test for enhanced predictive accuracy in adhesive manufacturing process Enthalten in Open engineering Bd. 16, 2026, Nr. 1. 14 S.
	70	Hybrid mechanics-informed machine learning models for predicting mechanical failure in graphene sponge: a low-data strategy for mechanical engineering applications Enthalten in Open engineering Bd. 15, 2026, Nr. 1. 13 S.