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

26341 - 26350 von 29230
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Artikel 26341 Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data
Enthalten in Rheumatology international Bd. 44, 11.1.2024, Nr. 3, date:3.2024: 523-534
Online Ressource
Artikel 26342 Prediction of the Axial Bearing Compressive Capacities of CFST Columns Based on Machine Learning Methods
Enthalten in International journal of steel structures Bd. 24, 27.1.2024, Nr. 1, date:2.2024: 81-94
Online Ressource
Artikel 26343 Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques
Enthalten in Scientific reports Bd. 15, 4.2.2025, Nr. 1, date:12.2025: 1-18
Online Ressource
Artikel 26344 Prediction of the axial compression capacity of stub CFST columns using machine learning techniques
Enthalten in Scientific reports Bd. 14, 5.2.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 26345 Prediction of the Composition and Hardness of High-Entropy Alloys by Machine Learning
Enthalten in JOM Bd. 71, 30.7.2019, Nr. 10, date:10.2019: 3433-3442
Online Ressource
Artikel 26346 Prediction of the Composition of the Wide Light Hydrocarbon Fraction by Methods of Machine Learning in Pipeline Transportation
Enthalten in Optoelectronics, instrumentation and data processing Bd. 58, 8.7.2022, Nr. 1, date:2.2022: 85-90
Online Ressource
Artikel 26347 Prediction of the Consolidation Coefficient of Soft Soil Based on Machine Learning Models
Enthalten in Soil mechanics and foundation engineering Bd. 61, 30.7.2024, Nr. 3, date:7.2024: 223-229
Online Ressource
Artikel 26348 Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques
Enthalten in Neural computing & applications Bd. 33, 20.7.2021, Nr. 24, date:12.2021: 17131-17145
Online Ressource
Artikel 26349 Prediction of the Cu oxidation state from EELS and XAS spectra using supervised machine learning
Enthalten in npj computational materials Bd. 10, 17.9.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 26350 Prediction of the development of acute kidney injury following cardiac surgery by machine learning
Enthalten in Critical care Bd. 24, 31.7.2020, Nr. 1, date:12.2020: 1-13
Online Ressource


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