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Ergebnis der Suche nach: "Machine Learning"
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38841 - 38850 von 39387

	38841	Unsupervised machine learning combined with 4D scanning transmission electron microscopy for bimodal nanostructural analysis Enthalten in Scientific reports Bd. 14, 5.2.2024, Nr. 1, date:12.2024: 1-10
	38842	Unsupervised machine learning for automated corrosion staging using optical microscopy images Enthalten in npj Materials degradation Bd. 9, 8.7.2025, Nr. 1, date:12.2025: 1-9
	38843	Unsupervised machine learning for clustering forward head posture, protraction and retraction movement patterns based on craniocervical angle data in individuals with nonspecific neck pain Enthalten in BMC musculoskeletal disorders Bd. 25, 13.5.2024, Nr. 1, date:12.2024: 1-10
	38844	Unsupervised machine learning for disease prediction: a comparative performance analysis using multiple datasets Enthalten in Health and Technology Bd. 14, 29.12.2023, Nr. 1, date:1.2024: 141-154
	38845	Unsupervised machine learning for local stress identification in fatigue analysis of welded joints Enthalten in Welding in the world Bd. 69, 19.11.2024, Nr. 1, date:1.2025: 213-226
	38846	Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data Enthalten in Acta Neuropathologica Communications Bd. 11, 21.12.2023, Nr. 1, date:12.2023: 1-20
	38847	Unsupervised machine learning identifies distinct phenotypes in cardiac complications of pediatric patients treated with anthracyclines Enthalten in Cardio-Oncology Bd. 10, 28.10.2024, Nr. 1, date:12.2024: 1-11
	38848	Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systems Enthalten in Biomedical engineering online Bd. 11, 16.2.2012, Nr. 1, date:12.2012: 1-11
	38849	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
	38850	Unsupervised Machine Learning Methods for Determining Special Points of the Polymerase Chain Reaction Fluorescence Accumulation Curve Enthalten in Moskovskij gosudarstvennyj universitet im. M.V. Lomonosova: Moscow University physics bulletin Bd. 78, 17.1.2024, Nr. 1, date:12.2023: S169-S179

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