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Ergebnis der Suche nach: "Machine Learning"
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19501 - 19510 von 19860

	19501	Unsupervised machine learning-based multi-attributes analysis for enhancing gas channel detection and facies classification in the serpent field, offshore Nile Delta, Egypt Enthalten in Geomechanics and geophysics for geo-energy and geo-resources Bd. 10, 28.11.2024, Nr. 1, date:12.2024: 1-22
	19502	Unsupervised machine learning based on clinical factors for the detection of coronary artery atherosclerosis in type 2 diabetes mellitus Enthalten in Cardiovascular diabetology Bd. 21, 28.11.2022, Nr. 1, date:12.2022: 1-10
	19503	Unsupervised machine learning-based stratification and immune deconvolution of liver hepatocellular carcinoma Enthalten in BMC cancer Bd. 25, 10.5.2025, Nr. 1, date:12.2025: 1-16
	19504	Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients Enthalten in BMC pulmonary medicine Bd. 25, 8.2.2025, Nr. 1, date:12.2025: 1-9
	19505	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
	19506	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
	19507	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
	19508	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
	19509	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
	19510	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