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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

13321 - 13330 von 13549

	13321	Using machine learning algorithms to guide rehabilitation planning for home care clients Enthalten in BMC medical informatics and decision making Bd. 7, 20.12.2007, Nr. 1, date:12.2007: 1-13
	13322	Using machine learning algorithms to identify genes essential for cell survival Enthalten in BMC bioinformatics Bd. 18, 3.10.2017, Nr. 11, date:10.2017: 19-29
	13323	Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials Enthalten in npj computational materials Bd. 4, 16.7.2018, Nr. 1, date:12.2018: 1-10
	13324	Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department Enthalten in BMC emergency medicine Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-18
	13325	Using machine learning approach for screening metastatic biomarkers in colorectal cancer and predictive modeling with experimental validation Enthalten in Scientific reports Bd. 13, 8.11.2023, Nr. 1, date:12.2023: 1-17
	13326	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
	13327	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
	13328	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.
	13329	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.
	13330	Using machine learning for communication classification Enthalten in Experimental economics Bd. 22, 14.2.2019, Nr. 4, date:12.2019: 1002-1029

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Ergebnis der Suche nach: "Machine Learning" im Bestand: Gesamter Bestand

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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand