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

26511 - 26520 von 29411
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Artikel 26511 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 26512 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 26513 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 26514 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 26515 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 26516 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 26517 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
Artikel 26518 Prediction of the effects of small molecules on the gut microbiome using machine learning method integrating with optimal molecular features
Enthalten in BMC bioinformatics Bd. 24, 12.9.2023, Nr. 1, date:12.2023: 1-16
Online Ressource
Artikel 26519 Prediction of the Extent of Blood–Brain Barrier Transport Using Machine Learning and Integration into the LeiCNS-PK3.0 Model
Enthalten in Pharmaceutical research Bd. 42, 10.2.2025, Nr. 2, date:2.2025: 281-289
Online Ressource
Artikel 26520 Prediction of the fatigue curve of high-strength steel resistance spot welding joints by finite element analysis and machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 128, 11.8.2023, Nr. 5-6, date:9.2023: 2763-2779
Online Ressource


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