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Ergebnis der Suche nach:
"Machine Learning"
im Bestand: Gesamter Bestand
41521 - 41530 von 42108
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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
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
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
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
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
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
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
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
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
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
41521 - 41530 von 42108
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