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26001 |
Prediction of ciprofloxacin resistance in hospitalized patients using machine learning
Enthalten in Communications medicine Bd. 3, 28.3.2023, Nr. 1, date:12.2023: 1-8
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26002 |
Prediction of circularity of the holes in electrical discharge machining of inconel alloy using machine learning technique
Enthalten in Interactions Bd. 245, 26.8.2024, Nr. 1, date:12.2024: 1-10
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26003 |
Prediction of clinical stages of cervical cancer via machine learning integrated with clinical features and ultrasound-based radiomics
Enthalten in Scientific reports Bd. 15, 29.5.2025, Nr. 1, date:12.2025: 1-8
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26004 |
Prediction of CO2 solubility in aqueous and organic solvent systems through machine learning techniques
Enthalten in Modeling earth systems and environment Bd. 11, 16.12.2024, Nr. 1, date:2.2025: 1-9
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26005 |
Prediction of CO2 storage site integrity with rough set-based machine learning
Enthalten in Clean technologies and environmental policy Bd. 21, 23.7.2019, Nr. 8, date:10.2019: 1655-1664
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26006 |
Prediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models
Enthalten in Earth science informatics Bd. 17, 5.12.2023, Nr. 1, date:2.2024: 401-419
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26007 |
Prediction of coating degradation based on “Environmental Factors–Physical Property–Corrosion Failure” two-stage machine learning
Enthalten in npj Materials degradation Bd. 9, 10.6.2025, Nr. 1, date:12.2025: 1-13
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26008 |
Prediction of compressive strength of concrete doped with waste plastic using machine learning-based advanced regularized regression models
Enthalten in Asian journal of civil engineering Bd. 26, 14.2.2025, Nr. 4, date:4.2025: 1723-1741
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26009 |
Prediction of compressive strength of concrete under various curing conditions: a comparison of machine learning models and empirical mathematical models
Enthalten in Innovative infrastructure solutions Bd. 9, 21.6.2024, Nr. 7, date:7.2024: 1-15
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26010 |
Prediction of compressive strength of fiber-reinforced concrete containing silica (SiO2) based on metaheuristic optimization algorithms and machine learning techniques
Enthalten in Scientific reports Bd. 15, 4.6.2025, Nr. 1, date:12.2025: 1-16
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