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Ergebnis der Suche nach:
"Machine Learning"
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26341 - 26350 von 29230
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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
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
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
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
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
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
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
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
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
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
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