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11441 |
Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation
Enthalten in Precision agriculture Bd. 24, 20.4.2023, Nr. 5, date:10.2023: 1792-1812
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11442 |
Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms
Enthalten in BMC medical informatics and decision making Bd. 19, 5.11.2019, Nr. 1, date:12.2019: 1-10
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11443 |
Predicting smoking cessation, reduction and relapse six months after using the Stop-Tabac app for smartphones: a machine learning analysis
Enthalten in BMC public health Bd. 23, 5.6.2023, Nr. 1, date:12.2023: 1-12
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11444 |
Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features
Enthalten in Scientific reports Bd. 12, 17.8.2022, Nr. 1, date:12.2022: 1-10
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11445 |
Predicting soil cone index and assessing suitability for wind and solar farm development in using machine learning techniques
Enthalten in Scientific reports Bd. 14, 5.2.2024, Nr. 1, date:12.2024: 1-15
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11446 |
Predicting Solar Cycle 26 Using the Polar Flux as a Precursor, Spectral Analysis, and Machine Learning: Crossing a Gleissberg Minimum?
Enthalten in Solar physics Bd. 299, 28.8.2024, Nr. 8, date:8.2024: 1-18
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11447 |
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks
Enthalten in Journal of Big Data Bd. 11, 3.9.2024, Nr. 1, date:12.2024: 1-20
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11448 |
Predicting state level suicide fatalities in the united states with realtime data and machine learning
Enthalten in npj mental health research Bd. 3, 16.1.2024, Nr. 1, date:12.2024: 1-7
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11449 |
Predicting STEM Major Choice: a Machine Learning Classification and Regression Tree Approach
Enthalten in Journal for STEM education research Bd. 6, 11.5.2023, Nr. 2, date:8.2023: 358-374
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11450 |
Predicting stone composition via machine-learning models trained on intra-operative endoscopic digital images
Enthalten in BMC urology Bd. 24, 3.1.2024, Nr. 1, date:12.2024: 1-8
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Administration
