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 591 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 592 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 593 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
Online Ressource
Artikel 594 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
Online Ressource
Artikel 595 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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Artikel 596 Context-Based Subvariant Discovery for Process Mining via Machine Learning
Enthalten in Business & information systems engineering 30.5.2025: 1-20
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Artikel 597 Enhancing Spatial Interpretability of Fluoride in Groundwater Using an Integrated GIS and Machine Learning Approach
Enthalten in Earth systems and environment 30.5.2025: 1-21
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Artikel 598 Exploiting Physics-Based Machine Learning to Quantify Geodynamic Effects &ndash; Insights from the Alpine Region
Enthalten in EGUsphere 30.05.2025: 1-24. 24 S.
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Artikel 599 Machine learning-based deformation prediction and inverse design of magnetic soft cantilever using deformation simulation data
Enthalten in International Journal of Mechanics and Materials in Design 30.5.2025: 1-18
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Artikel 600 Machine learning-based structure—property modeling for ionic liquids design and screening: A state-of-the-art review
Enthalten in Frontiers in energy 30.5.2025: 1-24
Online Ressource


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