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34021 |
Prediction of Mechanical Properties of High-Entropy Carbide (Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)C with the Use of Machine Learning Potential
Enthalten in Doklady physical chemistry Bd. 514, 13.4.2024, Nr. 1, date:1.2024: 9-14
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34022 |
Prediction of Mechanical Properties of Steel Tubes Using a Machine Learning Approach
Enthalten in Journal of materials engineering and performance Bd. 30, 5.1.2021, Nr. 1, date:1.2021: 434-443
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34023 |
Prediction of Mechanical Properties of Wrought Aluminium Alloys Using Feature Engineering Assisted Machine Learning Approach
Enthalten in Metallurgical and materials transactions / A / Physical metallurgy and materials science Bd. 52, 26.4.2021, Nr. 7, date:7.2021: 2873-2884
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34024 |
Prediction of medical device performance using machine learning techniques: infant incubator case study
Enthalten in Health and Technology Bd. 10, 26.10.2019, Nr. 1, date:1.2020: 151-155
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34025 |
Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea
Enthalten in BMC public health Bd. 22, 6.4.2022, Nr. 1, date:12.2022: 1-10
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34026 |
Prediction of metabolic syndrome using machine learning approaches based on genetic and nutritional factors: a 14-year prospective-based cohort study
Enthalten in BMC medical genomics Bd. 17, 4.9.2024, Nr. 1, date:12.2024: 1-14
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34027 |
Prediction of microvascular obstruction from angio-based microvascular resistance and available clinical data in percutaneous coronary intervention: an explainable machine learning model
Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-10
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34028 |
Prediction of milling performance of thermally modified wood based on machine learning
Enthalten in Holz als Roh- und Werkstoff Bd. 83, 19.2.2025, Nr. 2, date:4.2025: 1-11
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34029 |
Prediction of missing temperature data using different machine learning methods
Enthalten in Arabian journal of geosciences Bd. 15, 22.12.2021, Nr. 1, date:1.2022: 1-11
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34030 |
Prediction of moderate to severe bleeding risk in pediatric immune thrombocytopenia using machine learning
Enthalten in Zeitschrift für Kinderheilkunde Bd. 184, 7.4.2025, Nr. 5, date:5.2025: 1-9
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Administration
