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25971 |
Prediction and early warning model of mixed exposure to air pollution and meteorological factors on death of respiratory diseases based on machine learning
Enthalten in Environmental science and pollution research Bd. 30, 3.3.2023, Nr. 18, date:4.2023: 53754-53766
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25972 |
Prediction and Feature Importance of Earth Pressure in Shields Using Machine Learning Algorithms
Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 27, 19.11.2022, Nr. 2, date:2.2023: 862-877
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25973 |
Prediction and feature selection of low birth weight using machine learning algorithms
Enthalten in Journal of health, population and nutrition Bd. 43, 12.10.2024, Nr. 1, date:12.2024: 1-13
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25974 |
Prediction and in-depth analysis of precast concrete strength by machine learning
Enthalten in Innovative infrastructure solutions Bd. 10, 3.3.2025, Nr. 3, date:3.2025: 1-18
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25975 |
Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches
Enthalten in Scientific reports Bd. 15, 23.5.2025, Nr. 1, date:12.2025: 1-9
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25976 |
Prediction and optimization of indirect shoot regeneration of Passiflora caerulea using machine learning and optimization algorithms
Enthalten in BMC biotechnology Bd. 23, 1.8.2023, Nr. 1, date:12.2023: 1-12
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25977 |
Prediction and optimization of stretch flangeability of advanced high strength steels utilizing machine learning approaches
Enthalten in Scientific reports Bd. 15, 10.5.2025, Nr. 1, date:12.2025: 1-21
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25978 |
Prediction and parametric assessment of soil one-dimensional vertical free swelling potential using ensemble machine learning models
Enthalten in Advanced modeling and simulation in engineering sciences Bd. 11, 27.12.2024, Nr. 1, date:12.2024: 1-20
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25979 |
Prediction and risk assessment of sepsis-associated encephalopathy in ICU based on interpretable machine learning
Enthalten in Scientific reports Bd. 12, 31.12.2022, Nr. 1, date:12.2022: 1-11
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25980 |
Prediction and unsupervised clustering of fertility intention among migrant workers based on machine learning: a cross-sectional survey from Henan, China
Enthalten in BMC public health Bd. 25, 14.1.2025, Nr. 1, date:12.2025: 1-9
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