Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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15691 - 15700 von 15901

	15691	Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors Enthalten in BMC medical informatics and decision making Bd. 24, 22.7.2024, Nr. 1, date:12.2024: 1-8
	15692	Using machine learning-based radiomics to differentiate between glioma and solitary brain metastasis from lung cancer and its subtypes Enthalten in Discover oncology Bd. 14, 6.12.2023, Nr. 1, date:12.2023: 1-10
	15693	USING MACHINE LEARNING CLASSIFIERS AND REGRESSION MODELS FOR ESTIMATING THE STAND AGES OF FALCATA PLANTATIONS FROM SENTINEL DATA Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W6-2022, 2023: 465-472. 8 S.
	15694	USING MACHINE LEARNING COUPLED WITH REMOTE SENSING FOR FOREST FIRE SUSCEPTIBILITY MAPPING. CASE STUDY TETOUAN PROVINCE, NORTHERN MOROCCO Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W6-2022, 2023: 333-342. 10 S.
	15695	Using machine learning for communication classification Enthalten in Experimental economics Bd. 22, 14.2.2019, Nr. 4, date:12.2019: 1002-1029
	15696	Using machine learning for early detection of chronic obstructive pulmonary disease: a narrative review Enthalten in Respiratory research Bd. 25, 9.9.2024, Nr. 1, date:12.2024: 1-9
	15697	Using machine learning for model benchmarking and forecasting of depletion-induced seismicity in the Groningen gas field Enthalten in Computational geosciences Bd. 25, 3.1.2021, Nr. 1, date:2.2021: 529-551
	15698	Using machine learning for predicting cancer-specific mortality in bladder cancer patients undergoing radical cystectomy: a SEER-based study Enthalten in BMC cancer Bd. 25, 21.3.2025, Nr. 1, date:12.2025: 1-13
	15699	Using Machine Learning for Robust Target Prediction in a Basic Oxygen Furnace System Enthalten in Metallurgical and materials transactions / B / Process metallurgy and materials processing science Bd. 51, 29.5.2020, Nr. 4, date:8.2020: 1632-1645
	15700	Using machine learning for the assessment of ecological status of unmonitored waters in Poland Enthalten in Scientific reports Bd. 14, 18.10.2024, Nr. 1, date:12.2024: 1-14