Katalog der Deutschen Nationalbibliothek

Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. Die Ausstellungen des Deutschen Buch- und Schriftmuseums sind von 10 bis 18 Uhr geöffnet. Die Ausstellungen des Deutschen Exilarchivs 1933-1945 sind von 9 bis 21:30 Uhr geöffnet. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations. The exhibitions of the German Museum of Books and Writing will open from 10:00 to 18:00. The exhibitions of the German Exile Archive 1933–1945 will be open from 9:00 to 21:30.
 
 
 


Ergebnis der Suche nach: "Machine Learning"
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Artikel 711 OCR-CRNN (WBS): an optical character recognition system based on convolutional recurrent neural network embedded with word beam search decoder for extraction of text
Enthalten in International journal of information technology 8.5.2025: 1-8
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Artikel 712 Prediction of Cutting Surface Roughness of Compacted Graphite Iron (CGI) Based on Machine Learning Techniques
Enthalten in Iranian journal of science and technology / Transactions of mechanical engineering 8.5.2025: 1-8
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Artikel 713 Prioritization and meta-heuristic approach for efficient congestion control in vehicular ad hoc networks (VANETs)
Enthalten in International journal of information technology 8.5.2025: 1-9
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Artikel 714 Design Approaches of High‐Entropy Alloys Using Artificial Intelligence: A Review
Enthalten in Advanced engineering materials 07.05.2025. 23 S.
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Artikel 715 A Data-Driven Approach to Spatial Drought Mapping Using Machine Learning
Enthalten in Earth systems and environment 7.5.2025: 1-16
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Artikel 716 A survey on TRIX index and machine learning applications in marine pollution context
Enthalten in International journal of data science and analytics 7.5.2025: 1-20
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Artikel 717 Classifying Thermodynamic Cloud Phase Using Machine Learning Models
Enthalten in EGUsphere 07.05.2025: 1-33. 33 S.
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Artikel 718 Comment on “Development and Validation of Risk Assessment Model for Pelvic Organ Prolapse Based on a Retrospective Study with Machine Learning Algorithms”
Enthalten in International urogynecology journal 7.5.2025: 1-2
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Artikel 719 Dyeing Silk Fibers the Green Way: Modeling the Dyeing Process with a Natural Dye Extracted from Phytolacca americana Fruits Through Response Surface Methodology and SVM-Based Machine Learning Modeling
Enthalten in Chemistry Africa 7.5.2025: 1-14
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Artikel 720 Evaluating machine learning approaches to predict the energy expenditure of cross-national preschool children: a study of preprocessing and feature effects
Enthalten in European journal of applied physiology 7.5.2025: 1-14
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