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Ergebnis der Suche nach: "Machine Learning"
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11801 - 11810 von 12145
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Artikel 11801 Unboxing machine learning models for concrete strength prediction using XAI
Enthalten in Scientific reports Bd. 13, 14.11.2023, Nr. 1, date:12.2023: 1-20
Online Ressource
Artikel 11802 Uncertainty-aware mixed-variable machine learning for materials design
Enthalten in Scientific reports Bd. 12, 17.11.2022, Nr. 1, date:12.2022: 1-13
Online Ressource
Artikel 11803 Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference
Enthalten in International journal of concrete structures and materials Bd. 16, 7.12.2022, Nr. 1, date:12.2022: 1-15
Online Ressource
Artikel 11804 Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Enthalten in Scientific reports Bd. 14, 13.7.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 11805 Unconfined compressive strength prediction of rock materials based on machine learning
Enthalten in Journal of engineering and applied science Bd. 71, 19.6.2024, Nr. 1, date:12.2024: 1-32
Online Ressource
Artikel 11806 Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality
Enthalten in Molecular cancer Bd. 20, 28.8.2021, Nr. 1, date:12.2021: 1-22
Online Ressource
Artikel 11807 Uncovering doubly charged scalars with dominant three-body decays using machine learning
Enthalten in Journal of high energy physics Bd. 2023, 2.11.2023, Nr. 11, date:11.2023: 1-30
Online Ressource
Artikel 11808 Uncovering drone intentions using control physics informed machine learning
Enthalten in Communications engineering Bd. 3, 24.2.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 11809 Uncovering gene and cellular signatures of immune checkpoint response via machine learning and single-cell RNA-seq
Enthalten in npj precision oncology Bd. 9, 2.4.2025, Nr. 1, date:12.2025: 1-16
Online Ressource
Artikel 11810 Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision
Enthalten in Biology direct Bd. 20, 21.1.2025, Nr. 1, date:12.2025: 1-16
Online Ressource


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