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27871 |
Usage of machine learning methods for forecasting the strength of environmentally friendly geopolymer concrete
Enthalten in Journal of ambient intelligence and humanized computing Bd. 16, 22.3.2025, Nr. 4-5, date:5.2025: 505-522
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27872 |
Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients
Enthalten in BMC nephrology Bd. 24, 14.2.2023, Nr. 1, date:12.2023: 1-17
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27873 |
Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study
Enthalten in Journal of cancer research and clinical oncology Bd. 150, 16.9.2024, Nr. 9, date:9.2024: 1-10
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27874 |
Use machine learning to predict treatment outcome of early childhood caries
Enthalten in BMC oral health Bd. 25, 15.3.2025, Nr. 1, date:12.2025: 1-9
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27875 |
Use of a supervised machine learning model to predict Oncotype DX risk category in node-positive patients older than 50 years of age
Enthalten in Breast cancer research and treatment Bd. 196, 21.10.2022, Nr. 3, date:12.2022: 565-570
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27876 |
Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France
Enthalten in Archives of public health Bd. 79, 22.9.2021, Nr. 1, date:12.2021: 1-13
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27877 |
Use of CPT and other parameters for estimating soil unit weight using optimised machine learning models
Enthalten in Earth science informatics Bd. 18, 31.1.2025, Nr. 2, date:2.2025: 1-16
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27878 |
Use of GIS and machine learning to predict disease in shrimp farmed on the east coast of the Mekong Delta, Vietnam
Enthalten in Fisheries science Bd. 88, 13.1.2022, Nr. 1, date:1.2022: 1-13
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27879 |
Use of GIS, Statistics and Machine Learning for Groundwater Quality Management: Application to Nitrate Contamination
Enthalten in Water resources Bd. 49, 19.5.2022, Nr. 3, date:6.2022: 503-514
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27880 |
Use of low-fidelity models with machine-learning error correction for well placement optimization
Enthalten in Computational geosciences Bd. 26, 25.5.2022, Nr. 5, date:10.2022: 1189-1206
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