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Ergebnis der Suche nach: "Machine Learning"
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16921 - 16930 von 17232

	16921	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
	16922	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
	16923	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
	16924	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
	16925	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
	16926	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
	16927	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
	16928	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
	16929	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
	16930	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

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