Katalog der Deutschen Nationalbibliothek

Gesamter Bestand

Musikarchiv

Exilsammlungen

Buchmuseum

Suchformular zurücksetzen

Expertensuche ?

Leichte Bedienung, intuitive Suche: Die Betaversion unseres neuen Katalogs ist online! → Zur Betaversion des neuen DNB-Katalogs

Wegen Wartungsarbeiten am Mittwoch, 10. Februar 2026 kann es zwischen 07:30 und 08:30 Uhr zu Unterbrechungen unserer Dienste kommen. // Due to maintenance work on Wednesday, 04 February 2026, there may be interruptions to our services between 07:30 and 08:30.

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

271 - 280 von 42847

	271	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.
	272	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.
	273	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.
	274	Sustainable prediction of compression index in fine-grained soils using machine learning techniques Enthalten in Open Geosciences Bd. 18, 2026, Nr. 1. 19 S.
	275	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.
	276	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.
	277	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.
	278	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.
	279	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.
	280	Semiparametric discovery and estimation of interaction in mixed exposures using stochastic interventions Enthalten in Journal of causal inference Bd. 14, 2026, Nr. 1. 29 S.