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34101 |
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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34102 |
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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34103 |
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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34104 |
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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34105 |
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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34106 |
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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34107 |
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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34108 |
Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation
Enthalten in Scientific reports Bd. 15, 21.4.2025, Nr. 1, date:12.2025: 1-11
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34109 |
Prediction of the academic performance of slow learners using efficient machine learning algorithm
Enthalten in Advances in computational intelligence Bd. 1, 3.7.2021, Nr. 4, date:8.2021: 1-12
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34110 |
Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data
Enthalten in Rheumatology international Bd. 44, 11.1.2024, Nr. 3, date:3.2024: 523-534
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