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Ergebnis der Suche nach: "Machine Learning"
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Artikel 40081 Using Machine Learning Methods to Predict the Magnitude and the Direction of Mask Fragments Displacement in Optical Proximity Correction (OPC)
Enthalten in Optical memory and neural networks Bd. 30, 29.12.2021, Nr. 4, date:10.2021: 291-297
Online Ressource
Artikel 40082 Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
Enthalten in Scientific reports Bd. 13, 22.12.2023, Nr. 1, date:12.2023: 1-13
Online Ressource
Artikel 40083 Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis
Enthalten in BMC pediatrics Bd. 25, 24.5.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 40084 Using machine learning models to improve stroke risk level classification methods of China national stroke screening
Enthalten in BMC medical informatics and decision making Bd. 19, 10.12.2019, Nr. 1, date:12.2019: 1-7
Online Ressource
Artikel 40085 Using machine-learning models to predict extubation failure in neonates with bronchopulmonary dysplasia
Enthalten in BMC pulmonary medicine Bd. 24, 1.7.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 40086 Using machine learning models to predict the impact of template mismatches on polymerase chain reaction assay performance
Enthalten in Scientific reports Bd. 15, 9.5.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 40087 Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis
Enthalten in BMC medical informatics and decision making Bd. 20, 29.9.2020, Nr. 1, date:12.2020: 1-13
Online Ressource
Artikel 40088 Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients
Enthalten in Scientific reports Bd. 13, 8.2.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 40089 Using machine learning prediction models for quality control: a case study from the automotive industry
Enthalten in Computational management science Bd. 20, 16.3.2023, Nr. 1, date:12.2023: 1-28
Online Ressource
Artikel 40090 Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review
Enthalten in Diagnostic and prognostic research Bd. 4, 2.10.2020, Nr. 1, date:12.2020: 1-12
Online Ressource


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