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Ergebnis der Suche nach: "Machine Learning"
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16931 - 16940 von 17232

	16931	Unsupervised machine learning method for indirect estimation of reference intervals for chronic kidney disease in the Puerto Rican population Enthalten in Scientific reports Bd. 13, 11.10.2023, Nr. 1, date:12.2023: 1-11
	16932	Unsupervised Machine Learning Revealed that Repeat Transcranial Magnetic Stimulation is More Suitable for Stroke Patients with Statin Enthalten in Neurology and Therapy Bd. 13, 30.4.2024, Nr. 3, date:6.2024: 857-868
	16933	Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices Enthalten in npj digital medicine Bd. 6, 22.12.2023, Nr. 1, date:12.2023: 1-11
	16934	UNSUPERVISED METHODOLOGY TO IN-SEASON MAPPING OF SUMMER CROPS IN URUGUAY WITH MODIS EVI’S TEMPORAL SERIES AND MACHINE LEARNING Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-3/W12-2020, 2020: 171-176
	16935	Unveiling Adolescent Suicidality: Holistic Analysis of Protective and Risk Factors Using Multiple Machine Learning Algorithms Enthalten in Journal of youth and adolescence Bd. 53, 20.11.2023, Nr. 3, date:3.2024: 507-525
	16936	Unveiling Berberine analogues as potential inhibitors of Escherichia coli FtsZ through machine learning molecular docking and molecular dynamics approach Enthalten in Scientific reports Bd. 15, 26.4.2025, Nr. 1, date:12.2025: 1-18
	16937	Unveiling degradation patterns in dye-sensitized solar cells: a machine learning perspective Enthalten in Scientific reports Bd. 15, 3.7.2025, Nr. 1, date:12.2025: 1-14
	16938	Unveiling hydrogen chemical states in supersaturated amorphous alumina via machine learning-driven atomistic modeling Enthalten in npj computational materials Bd. 11, 6.6.2025, Nr. 1, date:12.2025: 1-13
	16939	Unveiling lipoprotein subfractions signature in high-FNPO PCOS: implications for PCOM diagnosis and risk assessment using advanced machine learning models Enthalten in BMC medicine Bd. 23, 19.5.2025, Nr. 1, date:12.2025: 1-12
	16940	Unveiling new insights into migraine risk stratification using machine learning models of adjustable risk factors Enthalten in The journal of headache and pain Bd. 26, 6.5.2025, Nr. 1, date:12.2025: 1-14

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