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10901 |
Predicting interfacial thermal resistance by machine learning
Enthalten in npj computational materials Bd. 5, 3.5.2019, Nr. 1, date:12.2019: 1-8
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10902 |
Predicting intra-abdominal hypertension using anthropometric measurements and machine learning
Enthalten in Scientific reports Bd. 15, 19.3.2025, Nr. 1, date:12.2025: 1-11
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10903 |
Predicting Inundation Dynamics and Hydroperiods of Small, Isolated Wetlands Using a Machine Learning Approach
Enthalten in Wetlands Bd. 43, 10.7.2023, Nr. 6, date:8.2023: 1-17
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10904 |
Predicting invasion in early-stage ground-glass opacity pulmonary adenocarcinoma: a radiomics-based machine learning approach
Enthalten in BMC medical imaging Bd. 24, 13.9.2024, Nr. 1, date:12.2024: 1-10
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10905 |
Predicting irrigation water quality indices in a typical mining dominated area in the Upper West region of Ghana using multiple machine learning techniques
Enthalten in Discover water Bd. 4, 15.7.2024, Nr. 1, date:12.2024: 1-23
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10906 |
Predicting land suitability for wheat and barley crops using machine learning techniques
Enthalten in Scientific reports Bd. 15, 7.5.2025, Nr. 1, date:12.2025: 1-19
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10907 |
Predicting largest expected aftershock ground motions using automated machine learning (AutoML)-based scheme
Enthalten in Scientific reports Bd. 15, 6.1.2025, Nr. 1, date:12.2025: 1-14
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10908 |
Predicting life engagement and happiness from gaming motives and primary emotional traits before and during the COVID pandemic: a machine learning approach
Enthalten in Discover psychology Bd. 4, 24.6.2024, Nr. 1, date:12.2024: 1-16
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10909 |
Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study
Enthalten in BMC pregnancy and childbirth Bd. 25, 19.3.2025, Nr. 1, date:12.2025: 1-9
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10910 |
Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapy
Enthalten in Scientific reports Bd. 15, 13.2.2025, Nr. 1, date:12.2025: 1-13
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Administration
