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691 |
Compressive strength of waste-derived cementitious composites using machine learning
Enthalten in Reviews on advanced materials science Bd. 63, 2024, Nr. 1. 16 S.
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692 |
Predicting mechanical properties of sustainable green concrete using novel machine learning: Stacking and gene expression programming
Enthalten in Reviews on advanced materials science Bd. 63, 2024, Nr. 1. 22 S.
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693 |
Considerations for applying emerging technologies in paediatric laboratory medicine
Enthalten in Clinical chemistry and laboratory medicine Bd. 62, 2024, Nr. 10: 1938-1949. 12 S.
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694 |
Machine learning-based delta check method for detecting misidentification errors in tumor marker tests
Enthalten in Clinical chemistry and laboratory medicine Bd. 62, 2024, Nr. 7: 1421-1432. 12 S.
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695 |
Machine learning-based clinical decision support using laboratory data
Enthalten in Clinical chemistry and laboratory medicine Bd. 62, 2024, Nr. 5: 793-823. 031 S.
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696 |
Ionic surfactants critical micelle concentration prediction in water/organic solvent mixtures by artificial neural network
Enthalten in Tenside, surfactants, detergents Bd. 61, 2024, Nr. 6: 519-529. 11 S.
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697 |
Uncovering Predictors of Low Hippocampal Volume: Evidence from a Large-Scale Machine-Learning-Based Study in the UK Biobank
Enthalten in Neuroepidemiology Bd. 58, 2024, Nr. 5: 369-382. 14 S.
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698 |
Machine Learning Facial Emotion Classifiers in Psychotherapy Research: A Proof-of-Concept Study
Enthalten in Psychopathology Bd. 57, 2024, Nr. 3: 159-168. 10 S.
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699 |
A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities
Enthalten in Demonstratio mathematica Bd. 57, 2024, Nr. 1. 18 S.
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700 |
Convergence of Peaceman-Rachford splitting method with Bregman distance for three-block nonconvex nonseparable optimization
Enthalten in Demonstratio mathematica Bd. 57, 2024, Nr. 1. 21 S.
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