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Ergebnis der Suche nach: "Machine Learning"
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27011 - 27020 von 28757
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Artikel 27011 Self-healing hybrid intrusion detection system: an ensemble machine learning approach
Enthalten in Discover artificial intelligence Bd. 4, 16.4.2024, Nr. 1, date:12.2024: 1-20
Online Ressource
Artikel 27012 Self-organizing maps with adaptive distances for multiple dissimilarity matrices
Enthalten in Machine learning Bd. 113, 3.9.2024, Nr. 10, date:10.2024: 7783-7806
Online Ressource
Artikel 27013 Self-report symptom-based endometriosis prediction using machine learning
Enthalten in Scientific reports Bd. 13, 4.4.2023, Nr. 1, date:12.2023: 1-10
Online Ressource
Artikel 27014 Self-sensing capacity of strain-hardening fiber-reinforced cementitious composites: machine learning prediction and experimental validation
Enthalten in Asian journal of civil engineering Bd. 26, 17.3.2025, Nr. 4, date:4.2025: 1801-1818
Online Ressource
Artikel 27015 Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis
Enthalten in npj digital medicine Bd. 8, 15.2.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 27016 SELF-SUPERVISED LEARNING – A WAY TO MINIMIZE TIME AND EFFORT FOR PRECISION AGRICULTURE?
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 1327-1333. 7 S.
Online Ressource
Artikel 27017 Self-supervised learning advanced plant disease image classification with SimCLR
Enthalten in Advances in computational intelligence Bd. 3, 31.10.2023, Nr. 5, date:10.2023: 1-7
Online Ressource
Artikel 27018 Self-supervised machine learning for live cell imagery segmentation
Enthalten in Communications biology Bd. 5, 2.11.2022, Nr. 1, date:12.2022: 1-8
Online Ressource
Artikel 27019 Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10 kDa
Enthalten in Nature methods Bd. 20, 27.2.2023, Nr. 3, date:3.2023: 442-447
Online Ressource
Artikel 27020 Semantic approach for Web service classification using machine learning and measures of semantic relatedness
Enthalten in Service oriented computing and applications Bd. 10, 14.9.2015, Nr. 3, date:9.2016: 221-231
Online Ressource


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