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Ergebnis der Suche nach:
"Machine Learning"
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25871 - 25880 von 29199
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25871
Predicting severe intraventricular hemorrhage or early death using machine learning algorithms in VLBWI of the Korean Neonatal Network Database
Enthalten in Scientific reports Bd. 14, 15.5.2024, Nr. 1, date:12.2024: 1-9
25872
Predicting severity of acute appendicitis with machine learning methods: a simple and promising approach for clinicians
Enthalten in BMC emergency medicine Bd. 24, 18.6.2024, Nr. 1, date:12.2024: 1-11
25873
Predicting Short Time-to-Crime Guns: a Machine Learning Analysis of California Transaction Records (2010–2021)
Enthalten in Journal of urban health Bd. 101, 5.9.2024, Nr. 5, date:10.2024: 955-967
25874
Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation
Enthalten in Precision agriculture Bd. 24, 20.4.2023, Nr. 5, date:10.2023: 1792-1812
25875
Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms
Enthalten in BMC medical informatics and decision making Bd. 19, 5.11.2019, Nr. 1, date:12.2019: 1-10
25876
Predicting slope stability potential failure surface using machine learning algorithms
Enthalten in Arabian journal of geosciences Bd. 18, 3.1.2025, Nr. 1, date:1.2025: 1-15
25877
Predicting smoking cessation, reduction and relapse six months after using the Stop-Tabac app for smartphones: a machine learning analysis
Enthalten in BMC public health Bd. 23, 5.6.2023, Nr. 1, date:12.2023: 1-12
25878
Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features
Enthalten in Scientific reports Bd. 12, 17.8.2022, Nr. 1, date:12.2022: 1-10
25879
Predicting soil cone index and assessing suitability for wind and solar farm development in using machine learning techniques
Enthalten in Scientific reports Bd. 14, 5.2.2024, Nr. 1, date:12.2024: 1-15
25880
Predicting soil salinity in wastewater land application systems under field conditions with tree-based machine learning approaches
Enthalten in Irrigation science Bd. 43, 8.1.2025, Nr. 2, date:3.2025: 177-190
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