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

1511 - 1520 von 29269
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Artikel 1511 Advancing flow duration curve prediction in ungauged basins using machine learning and deep learning
Enthalten in Hydrology and earth system sciences discussions 21.01.2025: 1-31. 31 S.
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Artikel 1512 An automated approach for developing geohazard inventories using news: Integrating NLP, machine learning, and mapping
Enthalten in EGUsphere 21.01.2025: 1-21. 21 S.
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Artikel 1513 Data augmentation for blurred-text image deblurring using non-euclidean extrapolations
Enthalten in International journal of information technology 21.1.2025: 1-12
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Artikel 1514 Do stock markets care about ESG and sentiments? Impact of ESG and investors' sentiment on share price prediction using machine learning
Enthalten in Annals of operations research 21.1.2025: 1-40
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Artikel 1515 Dual inhibition of AChE and MAO-B in Alzheimer’s disease: machine learning approaches and model interpretations
Enthalten in Molecular diversity 21.1.2025: 1-18
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Artikel 1516 Innovative Approaches to Predicting Maximum Load-Carrying Capacity of Fiber-Reinforced Polymer Reinforced Concrete Columns Using Machine Learning Techniques
Enthalten in Iranian journal of science and technology / Transactions of civil engineering 21.1.2025: 1-23
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Artikel 1517 Machine Learning-Based Human Stress Detection Model Employing Physiological Sensory Data
Enthalten in The Arabian journal for science and engineering 21.1.2025: 1-21
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Artikel 1518 Machine learning-based prediction of Clostridium growth in pork meat using explainable artificial intelligence
Enthalten in Journal of food science and technology 21.1.2025: 1-14
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Artikel 1519 The use of machine learning algorithms to determine the rate of material deformation: a new approach
Enthalten in International journal on interactive design and manufacturing 21.1.2025: 1-13
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Artikel 1520 Machine Learning‐Assisted Prediction of Photothermal Metal‐Phenolic Networks
Enthalten in Angewandte Chemie / International edition 20.01.2025. 14 S.
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