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Ergebnis der Suche nach: "Machine Learning"
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Artikel 16771 Unsupervised machine learning and multi-seismic attributes for fault and fracture network interpretation in the Kerry Field, Taranaki Basin, New Zealand
Enthalten in Geomechanics and geophysics for geo-energy and geo-resources Bd. 9, 26.9.2023, Nr. 1, date:12.2023: 1-27
Online Ressource
Artikel 16772 Unsupervised machine learning applied to scanning precession electron diffraction data
Enthalten in Advanced structural and chemical imaging Bd. 5, 15.3.2019, Nr. 1, date:12.2019: 1-14
Online Ressource
Artikel 16773 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 16774 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 16775 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 16776 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 16777 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 16778 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 16779 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 16780 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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