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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: tit all "Machine Learning Techniques"
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Artikel 81 Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control
Enthalten in Journal of intelligent manufacturing 10.10.2022: 1-35 		Online Ressource
Artikel 82 Machine learning techniques for cross-sectional equity returns’ prediction
Enthalten in OR spectrum 28.9.2022: 1-35 		Online Ressource
Artikel 83 Enhancing estimation methods for integrating probability and nonprobability survey samples with machine‐learning techniques. An application to a Survey on the impact of the COVID‐19 pandemic in Spain
Enthalten in Biometrical journal 22.09.2022. 19 S. 		Online Ressource
Artikel 84 Application of Machine Learning Techniques to Help in the Feature Selection Related to Hospital Readmissions of Suicidal Behavior
Enthalten in International journal of mental health and addiction 18.7.2022: 1-22 		Online Ressource
Artikel 85 Machine learning-enabled quantitative ultrasound techniques for tissue differentiation
Enthalten in Journal of medical ultrasonics 15.7.2022: 1-12 		Online Ressource
Artikel 86 Comparison of machine learning techniques for reservoir outflow forecasting
Enthalten in Natural hazards and earth system sciences discussions 17.06.2022: 1-27. 27 S. 		Online Ressource
Artikel 87 Machine Learning Techniques for Pile-Up Rejection in Cryogenic Calorimeters
Enthalten in Journal of low temperature physics 27.5.2022: 1-8 		Online Ressource
Artikel 88 Application of machine and deep learning techniques to estimate NMR-derived permeability from conventional well logs and artificial 2D feature maps
Enthalten in Journal of petroleum exploration and production technology 6.4.2022: 1-17 		Online Ressource
Artikel 89 Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques
Enthalten in Computational economics 25.3.2022: 1-31 		Online Ressource
Online Ressourcen 90 Nonlinear system identification of a furuta pendulum using machine learning techniques
Rückwald, Tobias. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2021 		Online Ressource


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