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26161 |
Prediction of the Diagrams of Fatigue Fracture of D16T Aluminum Alloy by the Methods of Machine Learning
Enthalten in Materials science Bd. 54, 4.12.2018, Nr. 3, date:11.2018: 333-338
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26162 |
Prediction of the Diameter of Biodegradable Electrospun Nanofiber Membranes: An Integrated Framework of Taguchi Design and Machine Learning
Enthalten in Journal of polymers and the environment Bd. 31, 28.4.2023, Nr. 9, date:9.2023: 4080-4096
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26163 |
Prediction of the Dynamic Behavior of Beams in Similitude Using Machine Learning Methods
Enthalten in Aerotecnica missili & spazio Bd. 98, 14.11.2019, Nr. 4, date:12.2019: 283-291
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26164 |
Prediction of the effects of small molecules on the gut microbiome using machine learning method integrating with optimal molecular features
Enthalten in BMC bioinformatics Bd. 24, 12.9.2023, Nr. 1, date:12.2023: 1-16
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26165 |
Prediction of the Extent of Blood–Brain Barrier Transport Using Machine Learning and Integration into the LeiCNS-PK3.0 Model
Enthalten in Pharmaceutical research Bd. 42, 10.2.2025, Nr. 2, date:2.2025: 281-289
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26166 |
Prediction of the fatigue curve of high-strength steel resistance spot welding joints by finite element analysis and machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 128, 11.8.2023, Nr. 5-6, date:9.2023: 2763-2779
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26167 |
Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods
Enthalten in Environmental monitoring and assessment Bd. 191, 19.5.2019, Nr. 6, date:6.2019: 1-21
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26168 |
Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods
Enthalten in Scientific reports Bd. 15, 8.5.2025, Nr. 1, date:12.2025: 1-11
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26169 |
Prediction of the higher heating values of biomass using machine learning methods based on proximate and ultimate analysis
Enthalten in Journal of mechanical science and technology Bd. 38, 12.3.2024, Nr. 3, date:3.2024: 1569-1574
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26170 |
Prediction of the indoor climate in cultural heritage buildings through machine learning: first results from two field tests
Enthalten in Heritage Science Bd. 10, 28.10.2022, Nr. 1, date:12.2022: 1-12
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