Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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35561 - 35570 von 35895

	35561	Using Machine Learning techniques in phenomenological studies on flavour physics Enthalten in Journal of high energy physics Bd. 2022, 19.7.2022, Nr. 7, date:7.2022: 1-43
	35562	Using Machine Learning Techniques to Detect Defects in Images of Metal Structures Enthalten in Pattern recognition and image analysis Bd. 31, 21.9.2021, Nr. 3, date:7.2021: 506-512
	35563	Using Machine Learning Techniques to Detect Parallel Patterns of Multi-threaded Applications Enthalten in International journal of parallel programming Bd. 44, 4.11.2015, Nr. 4, date:8.2016: 867-900
	35564	USING MACHINE LEARNING TECHNIQUES TO FILTER VEGETATION IN COLORIZED SFM POINT CLOUDS OF SOIL SURFACES Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 163-170. 8 S.
	35565	Using machine learning techniques to predict antimicrobial resistance in stone disease patients Enthalten in World journal of urology Bd. 40, 26.5.2022, Nr. 7, date:7.2022: 1731-1736
	35566	Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks Enthalten in Journal of Big Data Bd. 7, 24.8.2020, Nr. 1, date:12.2020: 1-16
	35567	Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data Enthalten in Scientific reports Bd. 14, 4.3.2024, Nr. 1, date:12.2024: 1-11
	35568	Using Machine Learning Techniques to Test the Load Capacity Curve Hypothesis: A Classifier-Lasso Application on Global Panel Data Enthalten in Biophysical economics and sustainability Bd. 10, 19.2.2025, Nr. 1, date:6.2025: 1-18
	35569	Using machine learning to assist with the selection of security controls during security assessment Enthalten in Empirical software engineering Bd. 25, 13.4.2020, Nr. 4, date:7.2020: 2550-2582
	35570	Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials Enthalten in Theoretical and applied genetics Bd. 137, 23.7.2024, Nr. 8, date:8.2024: 1-13