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

34401 - 34410 von 37305
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Artikel 34401 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 34402 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 34403 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 34404 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 34405 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 34406 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 34407 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
Artikel 34408 Prediction of the Diagrams of Fatigue Fracture of D16T Aluminum Alloy by the Methods of Machine Learning
Enthalten in Materials science Bd. 54, 4.12.2018, Nr. 3, date:11.2018: 333-338
Online Ressource
Artikel 34409 Prediction of the Diameter of Biodegradable Electrospun Nanofiber Membranes: An Integrated Framework of Taguchi Design and Machine Learning
Enthalten in Journal of polymers and the environment Bd. 31, 28.4.2023, Nr. 9, date:9.2023: 4080-4096
Online Ressource
Artikel 34410 Prediction of the Dynamic Behavior of Beams in Similitude Using Machine Learning Methods
Enthalten in Aerotecnica missili & spazio Bd. 98, 14.11.2019, Nr. 4, date:12.2019: 283-291
Online Ressource


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