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

41521 - 41530 von 42108
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Artikel 41521 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
Online Ressource
Artikel 41522 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
Online Ressource
Artikel 41523 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
Online Ressource
Artikel 41524 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
Online Ressource
Artikel 41525 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
Online Ressource
Artikel 41526 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
Online Ressource
Artikel 41527 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
Online Ressource
Artikel 41528 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
Online Ressource
Artikel 41529 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
Online Ressource
Artikel 41530 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
Online Ressource


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