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25731 |
Prediction of COVID-19 patients’ participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches
Enthalten in BMC health services research Bd. 24, 10.7.2024, Nr. 1, date:12.2024: 1-13
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25732 |
Prediction of creep degradation in Fe-Cr-Ni single-crystal alloys for high-temperature applications: a molecular-dynamics and machine-learning approach
Enthalten in Mechanics of time-dependent materials Bd. 29, 11.12.2024, Nr. 1, date:3.2025: 1-20
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25733 |
Prediction of creep properties of Co–10Al–9W superalloys with machine learning
Enthalten in Journal of materials science Bd. 59, 13.3.2024, Nr. 11, date:3.2024: 4571-4585
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25734 |
Prediction of cross-sectional features of SPR joints based on the punch force-displacement curve using machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 128, 25.8.2023, Nr. 9-10, date:10.2023: 4023-4034
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25735 |
Prediction of cytochrome P450-mediated bioactivation using machine learning models and in vitro validation
Enthalten in Archives of toxicology Bd. 98, 16.3.2024, Nr. 5, date:5.2024: 1457-1467
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25736 |
Prediction of daily sea water temperature in Turkish seas using machine learning approaches
Enthalten in Arabian journal of geosciences Bd. 15, 19.10.2022, Nr. 21, date:11.2022: 1-19
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25737 |
Prediction of damage potential in mainshock–aftershock sequences using machine learning algorithms
Enthalten in Earthquake engineering and engineering vibration Bd. 23, 8.10.2024, Nr. 4, date:10.2024: 919-938
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25738 |
PREDICTION OF DEFORMATION CAUSED BY LANDSLIDES BASED ON GRAPH CONVOLUTION NETWORKS ALGORITHM AND DINSAR TECHNIQUE
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4/W1-2022, 2023: 391-397. 7 S.
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25739 |
Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods
Enthalten in BMC medical informatics and decision making Bd. 15, 14.10.2015, Nr. 1, date:12.2015: 1-10
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25740 |
Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques
Enthalten in Scientific reports Bd. 11, 13.1.2021, Nr. 1, date:12.2021: 1-9
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