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34961 |
The application of fluorescence spectroscopy and machine learning as non-destructive approach to distinguish two different varieties of greenhouse tomatoes
Enthalten in European food research and technology Bd. 249, 8.9.2023, Nr. 12, date:12.2023: 3239-3245
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34962 |
The Application of Machine Learning and Optimisation Algorithm for Magnetorheological Damper Dynamics Behaviour: A Review
Enthalten in Journal of vibration engineering & technologies Bd. 13, 10.3.2025, Nr. 4, date:4.2025: 1-32
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34963 |
The application of machine learning approaches to classify and predict fertility rate in Ethiopia
Enthalten in Scientific reports Bd. 15, 20.1.2025, Nr. 1, date:12.2025: 1-13
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34964 |
The application of machine learning approaches to determine the predictors of anemia among under five children in Ethiopia
Enthalten in Scientific reports Bd. 13, 21.12.2023, Nr. 1, date:12.2023: 1-10
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34965 |
The application of machine learning for identifying frailty in older patients during hospital admission
Enthalten in BMC medical informatics and decision making Bd. 24, 27.9.2024, Nr. 1, date:12.2024: 1-11
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34966 |
The application of machine learning methods for predicting the progression of adolescent idiopathic scoliosis: a systematic review
Enthalten in Biomedical engineering online Bd. 23, 8.8.2024, Nr. 1, date:12.2024: 1-15
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34967 |
The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis
Enthalten in npj digital medicine Bd. 7, 9.5.2024, Nr. 1, date:12.2024: 1-13
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34968 |
The Application of Machine-Learning Technologies in the Design and Production of Composite-Material Structures
Enthalten in Polymer science / Series D / Glues and sealing materials Bd. 17, 16.3.2025, Nr. 4, date:12.2024: 928-933
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34969 |
The Application of Machine Learning to Online Mindfulness Intervention Data: a Primer and Empirical Example in Compliance Assessment
Enthalten in Mindfulness Bd. 12, 27.8.2021, Nr. 10, date:10.2021: 2519-2534
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34970 |
The application of time-to-event analysis in machine learning prognostic models
Enthalten in Journal of translational medicine Bd. 22, 12.2.2024, Nr. 1, date:12.2024: 1-2
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