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 581 Predicting high risk pregnancies in Pakistan- a demographic assessment using predictive machine learning
Enthalten in Quality & quantity 1.6.2025: 1-18
Online Ressource
Artikel 582 AI4WildLIVE: Integrating Biodiversity Monitoring and Earth Observation
Enthalten in AGILE: GIScience series Bd. 6, 2025: 1-6. 6 S.
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Artikel 583 Investigating Moran’s <em>I</em> Properties for Spatial Machine Learning: A Preliminary Analysis
Enthalten in AGILE: GIScience series Bd. 6, 2025: 1-6. 6 S.
Online Ressource
Artikel 584 Leveraging LLMs and attention-mechanism for automatic annotation of historical maps
Enthalten in AGILE: GIScience series Bd. 6, 2025: 1-8. 8 S.
Online Ressource
Artikel 585 A Systematic Review of the use of Machine Learning in the Prediction of House Pricing
Enthalten in Computational economics 31.5.2025: 1-40
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Artikel 586 Enhancing Hydrogen Energy Consumption Prediction Based on Stacked Machine Learning Model with Shapley Additive Explanations
Enthalten in Process integration and optimization for sustainability 31.5.2025: 1-22
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Artikel 587 Quantitative Characterization of Different Pore Types in Marine Shale Based on Machine Learning and SEM Images
Enthalten in Natural resources research 31.5.2025: 1-20
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Artikel 588 Quasi-Global Soil Moisture Retrieval Using Spaceborne CYGNSS Data with the Stacking Fused Machine Learning Model
Enthalten in Water resources management 31.5.2025: 1-20
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Artikel 589 The Application of Machine Learning in Warfarin Dose Precision for Diabetic Patients Treated with Statins: A Comparative Study
Enthalten in Cardiovascular drugs and therapy 31.5.2025: 1-14
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Artikel 590 Advanced machine learning models for early detection of helical gear faults
Enthalten in International journal on interactive design and manufacturing 30.5.2025: 1-11
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