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Ergebnis der Suche nach: "Machine Learning"
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Artikel 10981 Predicting symptomatic kidney stones using machine learning algorithms: insights from the Fasa adults cohort study (FACS)
Enthalten in Biomed Central (London): BMC Research Notes Bd. 17, 24.10.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 10982 Predicting synthetic mRNA stability using massively parallel kinetic measurements, biophysical modeling, and machine learning
Enthalten in Nature Communications Bd. 15, 6.11.2024, Nr. 1, date:12.2024: 1-11
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Artikel 10983 Predicting terrestrial heat flow in Egypt using random forest regression: a machine learning approach
Enthalten in Geothermal Energy Bd. 13, 24.4.2025, Nr. 1, date:12.2025: 1-31
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Artikel 10984 Predicting the Addition of Information Regarding Clinically Significant Adverse Drug Reactions to Japanese Drug Package Inserts Using a Machine-Learning Model
Enthalten in Therapeutic innovation & regulatory science Bd. 58, 22.12.2023, Nr. 2, date:3.2024: 357-367
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Artikel 10985 Predicting the antenna properties of helicon plasma thrusters using machine learning techniques
Enthalten in Journal of electric propulsion Bd. 3, 5.3.2024, Nr. 1, date:12.2024: 1-24
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Artikel 10986 Predicting the clothing insulation through machine learning algorithms: A comparative analysis and a practical approach
Enthalten in Building simulation Bd. 17, 16.3.2024, Nr. 5, date:5.2024: 839-855
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Artikel 10987 Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data
Enthalten in Friction Bd. 12, 2.2.2024, Nr. 6, date:6.2024: 1299-1321
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Artikel 10988 Predicting the complexity and mortality of polytrauma patients with machine learning models
Enthalten in Scientific reports Bd. 14, 9.4.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 10989 Predicting the compressive strength of high-performance concrete using an interpretable machine learning model
Enthalten in Scientific reports Bd. 14, 16.11.2024, Nr. 1, date:12.2024: 1-18
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Artikel 10990 Predicting the compressive strength of ultra-high-performance concrete using a decision tree machine learning model enhanced by the integration of two optimization meta-heuristic algorithms
Enthalten in Journal of engineering and applied science Bd. 71, 14.2.2024, Nr. 1, date:12.2024: 1-17
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