Katalog der Deutschen Nationalbibliothek

Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.
 
 
 


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

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Artikel 1601 Using resampled nSight-2 hyperspectral data and various machine learning classifiers for discriminating wetland plant species in a Ramsar Wetland site, South Africa
Enthalten in Applied geomatics 14.3.2024: 1-12 		Online Ressource
Artikel 1602 Leave No Photon Behind: Artificial Intelligence in Multiscale Physics of Photocatalyst and Photoreactor Design
Enthalten in Advanced science 13.03.2024. 15 S. 		Online Ressource
Artikel 1603 The Future of Material Scientists in an Age of Artificial Intelligence
Enthalten in Advanced science 13.03.2024. 11 S. 		Online Ressource
Artikel 1604 Adaptive Machine Learning Approach for Importance Evaluation of Multimodal Breast Cancer Radiomic Features
Enthalten in Journal of imaging informatics in medicine 13.3.2024: 1-10 		Online Ressource
Artikel 1605 Glacier: guided locally constrained counterfactual explanations for time series classification
Enthalten in Machine learning 13.3.2024: 1-31 		Online Ressource
Artikel 1606 Improving Ground-Level NO<sub>2</sub> Estimation in China Using GEMS Measurements and a Nested Machine Learning Model
Enthalten in EGUsphere 13.03.2024: 1-26. 26 S. 		Online Ressource
Artikel 1607 Interdependencies in Electrode Manufacturing: A Comprehensive Study Based on Design Augmentation and Explainable Machine Learning
Enthalten in Batteries & supercaps 12.03.2024. 12 S. 		Online Ressource
Artikel 1608 Machine learning techniques in breast cancer preventive diagnosis: a review
Enthalten in Multimedia tools and applications 12.3.2024: 1-44 		Online Ressource
Artikel 1609 Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency
Enthalten in Natural hazards 12.3.2024: 1-34 		Online Ressource
Artikel 1610 A Perspective on the Molecular Modeling of Electrolyte Decomposition Reactions for Solid Electrolyte Interphase Growth in Lithium‐Ion Batteries
Enthalten in Advanced functional materials 10.03.2024. 14 S. 		Online Ressource


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