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Ergebnis der Suche nach: "Machine Learning"
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25801 - 25810 von 28757
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Artikel 25801 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
Online Ressource
Artikel 25802 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
Online Ressource
Artikel 25803 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
Online Ressource
Artikel 25804 Prediction of monthly dry days with machine learning algorithms: a case study in Northern Bangladesh
Enthalten in Scientific reports Bd. 12, 16.11.2022, Nr. 1, date:12.2022: 1-21
Online Ressource
Artikel 25805 Prediction of mortality risk in patients with severe community-acquired pneumonia in the intensive care unit using machine learning
Enthalten in Scientific reports Bd. 15, 10.1.2025, Nr. 1, date:12.2025: 1-15
Online Ressource
Artikel 25806 Prediction of mortality risk of health checkup participants using machine learning-based models: the J-SHC study
Enthalten in Scientific reports Bd. 12, 19.8.2022, Nr. 1, date:12.2022: 1-8
Online Ressource
Artikel 25807 Prediction of motor and non-motor Parkinson’s disease symptoms using serum lipidomics and machine learning: a 2-year study
Enthalten in npj Parkinson's Disease Bd. 10, 25.6.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 25808 Prediction of mustard yield using different machine learning techniques: a case study of Rajasthan, India
Enthalten in International journal of biometeorology Bd. 67, 31.1.2023, Nr. 3, date:3.2023: 539-551
Online Ressource
Artikel 25809 Prediction of Mycobacterium tuberculosis cell wall permeability using machine learning methods
Enthalten in Molecular diversity Bd. 28, 12.8.2024, Nr. 4, date:8.2024: 2317-2329
Online Ressource
Artikel 25810 Prediction of Nanoscale Friction for Two-Dimensional Materials Using a Machine Learning Approach
Enthalten in Tribology letters Bd. 68, 8.4.2020, Nr. 2, date:6.2020: 1-14
Online Ressource


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