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

34281 - 34290 von 37180
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Artikel 34281 Prediction of surface runoff quality and quantity using an integrated model and machine learning under climate change conditions
Enthalten in Stochastic environmental research and risk assessment Bd. 39, 19.1.2025, Nr. 3, date:3.2025: 1015-1037
Online Ressource
Artikel 34282 Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation
Enthalten in Scientific reports Bd. 15, 21.4.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 34283 Prediction of the academic performance of slow learners using efficient machine learning algorithm
Enthalten in Advances in computational intelligence Bd. 1, 3.7.2021, Nr. 4, date:8.2021: 1-12
Online Ressource
Artikel 34284 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 34285 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
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Artikel 34286 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 34287 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 34288 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 34289 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 34290 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
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