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Ergebnis der Suche nach:
"Machine Learning"
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25831 - 25840 von 29290
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25831
Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods
Enthalten in Scientific reports Bd. 15, 11.4.2025, Nr. 1, date:12.2025: 1-13
25832
Predicting metastasis in gastric cancer patients: machine learning-based approaches
Enthalten in Scientific reports Bd. 13, 13.3.2023, Nr. 1, date:12.2023: 1-12
25833
Predicting microbial extracellular electron transfer activity in paddy soils with soil physicochemical properties using machine learning
Enthalten in Science China / Technological sciences Bd. 67, 8.12.2023, Nr. 1, date:1.2024: 259-270
25834
Predicting Microstructure-Sensitive Fatigue-Crack Path in 3D Using a Machine Learning Framework
Enthalten in JOM Bd. 71, 1.7.2019, Nr. 8, date:8.2019: 2680-2694
25835
Predicting mild cognitive impairment progression to Alzheimer’s disease based on machine learning analysis of cortical morphological features
Enthalten in Aging clinical and experimental research Bd. 35, 5.7.2023, Nr. 8, date:8.2023: 1721-1730
25836
Predicting mine water inflow volumes using a decomposition-optimization algorithm-machine learning approach
Enthalten in Scientific reports Bd. 14, 1.8.2024, Nr. 1, date:12.2024: 1-18
25837
Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: evidence from 55,500 individuals from 28 European countries
Enthalten in BMC health services research Bd. 23, 25.5.2023, Nr. 1, date:12.2023: 1-12
25838
Predicting Model for Device Density of States of Quantum-Confined SiC Nanotube with Magnetic Dopant: An Integrated Approach Utilizing Machine Learning and Density Functional Theory
Enthalten in Silicon Bd. 16, 10.9.2024, Nr. 16, date:11.2024: 5991-6009
25839
Predicting model of I–V characteristics of quantum-confined GaAs nanotube: a machine learning and DFT-based combined framework
Enthalten in Journal of computational electronics Bd. 22, 23.5.2023, Nr. 4, date:8.2023: 999-1009
25840
Predicting moisture content during maize nixtamalization using machine learning with NIR spectroscopy
Enthalten in Theoretical and applied genetics Bd. 134, 3.8.2021, Nr. 11, date:11.2021: 3743-3757
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