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

471 - 480 von 32529
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Artikel 471 Predicting coastal variations in non-storm conditions with machine learning
Enthalten in Open Geosciences Bd. 17, 2025, Nr. 1. 21 S.
Online Ressource
Artikel 472 Remote sensing and machine learning for lithology and mineral detection in NW, Pakistan
Enthalten in Open Geosciences Bd. 17, 2025, Nr. 1. 22 S.
Online Ressource
Artikel 473 Application of Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data – an example for the Wilkes and Aurora Subglacial Basin region, East Antarctica
Enthalten in Solid earth Bd. 16, 2025, Nr. 11: 1401-1420. 20 S.
Online Ressource
Artikel 474 A new biogeochemical modelling framework (FLaMe-v1.0) for lake methane emissions on the regional scale: development and application to the European domain
Enthalten in Earth System Dynamics Bd. 16, 2025, Nr. 5: 1779-1808. 30 S.
Online Ressource
Artikel 475 Refining a Machine Learning Model for Predicting Infant Sepsis: A Multidisciplinary Team Supported by Human-Centered Design Methods
Enthalten in Applied clinical informatics Bd. 16, 2025, Nr. 04: 1332-1340
Online Ressource
Artikel 476 Diagnosing aerosol–meteorological interactions on snow within Earth system models: a proof-of-concept study over High Mountain Asia
Enthalten in Earth System Dynamics Bd. 16, 2025, Nr. 4: 1237-1266. 30 S.
Online Ressource
Artikel 477 Analyzing Mobility Indicators Using Machine Learning to Detect Mild Cognitive Impairment: A Systematic Scoping Review
Enthalten in Applied clinical informatics Bd. 16, 2025, Nr. 04: 974-987
Online Ressource
Artikel 478 Research on dance action recognition and health promotion technology based on embedded systems
Enthalten in Paladyn Bd. 16, 2025, Nr. 1. 12 S.
Online Ressource
Artikel 479 Automated collection and categorisation of STM images and STS spectra with and without machine learning
Enthalten in Beilstein journal of nanotechnology Bd. 16, 2025: 1367-1379
Online Ressource
Artikel 480 Exploring Challenging C 2+ Products During CO 2 Reduction via Machine Learning Acceleration (Adv. Energy Mater. 16/2025)
Enthalten in Advanced energy materials Bd. 15, 2025, Nr. 16. 1 S.
Online Ressource


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