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26191 |
Prediction of Static Liquefaction Susceptibility of Sands Containing Plastic Fines Using Machine Learning Techniques
Enthalten in Geotechnical and geological engineering Bd. 41, 3.4.2023, Nr. 5, date:7.2023: 3057-3074
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26192 |
Prediction of stent under-expansion in calcified coronary arteries using machine learning on intravascular optical coherence tomography images
Enthalten in Scientific reports Bd. 13, 23.10.2023, Nr. 1, date:12.2023: 1-12
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26193 |
Prediction of strength properties of concrete under the influence of recycled aggregate using machine learning models
Enthalten in Interactions Bd. 245, 8.11.2024, Nr. 1, date:12.2024: 1-21
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26194 |
Prediction of subsequent fragility fractures: application of machine learning
Enthalten in BMC musculoskeletal disorders Bd. 25, 4.6.2024, Nr. 1, date:12.2024: 1-10
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26195 |
Prediction of Subway Vibration Values on the Ground Level Using Machine Learning
Enthalten in Geotechnical and geological engineering Bd. 41, 22.5.2023, Nr. 6, date:8.2023: 3753-3766
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26196 |
Prediction of successful aging using ensemble machine learning algorithms
Enthalten in BMC medical informatics and decision making Bd. 22, 3.10.2022, Nr. 1, date:12.2022: 1-16
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26197 |
Prediction of Suicidal Thoughts and Suicide Attempts in People Who Gamble Based on Biological-Psychological-Social Variables: A Machine Learning Study
Enthalten in Psychiatric quarterly Bd. 95, 28.10.2024, Nr. 4, date:12.2024: 711-730
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26198 |
Prediction of surface roughness in duplex stainless steel top milling using machine learning techniques
Enthalten in The international journal of advanced manufacturing technology Bd. 134, 28.8.2024, Nr. 5-6, date:9.2024: 2939-2953
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26199 |
Prediction of surface roughness of tempered steel AISI 1060 under effective cooling using super learner machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 136, 21.12.2024, Nr. 3-4, date:1.2025: 1421-1437
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26200 |
Prediction of surface runoff quality and quantity using an integrated model and machine learning under climate change conditions
Enthalten in Stochastic environmental research and risk assessment Bd. 39, 19.1.2025, Nr. 3, date:3.2025: 1015-1037
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