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Ergebnis der Suche nach: "Machine Learning"
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33511 - 33520 von 33939

	33511	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.
	33512	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.
	33513	Using machine learning for communication classification Enthalten in Experimental economics Bd. 22, 14.2.2019, Nr. 4, date:12.2019: 1002-1029
	33514	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
	33515	Using machine learning for early prediction of in-hospital mortality during ICU admission in liver cancer patients Enthalten in Scientific reports Bd. 15, 18.11.2025, Nr. 1, date:12.2025: 1-10
	33516	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
	33517	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
	33518	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
	33519	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
	33520	Using machine learning for timing analysis: where do we stand? Enthalten in Real-time systems Bd. 61, 29.5.2025, Nr. 2, date:6.2025: 300-305

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