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Ergebnis der Suche nach: "Machine Learning"
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271 - 280 von 42855

	271	Assessing ground deformation monitoring techniques in Midvaal, South Africa Enthalten in Journal of applied geodesy Bd. 20, 2026, Nr. 1: 147-162. 16 S.
	272	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.
	273	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.
	274	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.
	275	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.
	276	Sustainable prediction of compression index in fine-grained soils using machine learning techniques Enthalten in Open Geosciences Bd. 18, 2026, Nr. 1. 19 S.
	277	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.
	278	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.
	279	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.
	280	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.