|
6601 |
Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF
Enthalten in Communications chemistry Bd. 5, 10.12.2022, Nr. 1, date:12.2022: 1-8
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|
|
6602 |
Using interpretable boosting algorithms for modeling environmental and agricultural data
Enthalten in Scientific reports Bd. 13, 7.8.2023, Nr. 1, date:12.2023: 1-16
|
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|
|
6603 |
Using knowledge graphs and deep learning algorithms to enhance digital cultural heritage management
Enthalten in Heritage Science Bd. 11, 18.9.2023, Nr. 1, date:12.2023: 1-26
|
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|
|
6604 |
Using machine learning algorithms to enhance IoT system security
Enthalten in Scientific reports Bd. 14, 27.5.2024, Nr. 1, date:12.2024: 1-19
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|
6605 |
Using machine learning algorithms to guide rehabilitation planning for home care clients
Enthalten in BMC medical informatics and decision making Bd. 7, 20.12.2007, Nr. 1, date:12.2007: 1-13
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|
6606 |
Using machine learning algorithms to identify genes essential for cell survival
Enthalten in BMC bioinformatics Bd. 18, 3.10.2017, Nr. 11, date:10.2017: 19-29
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|
6607 |
Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors
Enthalten in BMC medical informatics and decision making Bd. 24, 22.7.2024, Nr. 1, date:12.2024: 1-8
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|
|
6608 |
Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data
Enthalten in Journal of Big Data Bd. 9, 29.4.2022, Nr. 1, date:12.2022: 1-20
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|
6609 |
Using multi-objective evolutionary algorithms to predict the parameters that determine membrane resonance in a biophysical model of bursting neurons
Enthalten in BMC neuroscience Bd. 15, 21.7.2014, Nr. 1, date:7.2014: 1-2
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|
6610 |
Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content
Enthalten in Scientific reports Bd. 14, 15.4.2024, Nr. 1, date:12.2024: 1-14
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Administration
