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10621 |
Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping
Enthalten in Plant methods Bd. 13, 21.11.2017, Nr. 1, date:12.2017: 1-16
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10622 |
MULTI-HAZARD SUSCEPTIBILITY ASSESSMENT WITH HYBRID MACHINE LEARNING METHODS FOR TUT REGION (ADIYAMAN, TURKIYE)
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-M-1-2023, 2023: 529-536. 8 S.
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10623 |
Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection
Enthalten in Journal of translational medicine Bd. 19, 30.6.2021, Nr. 1, date:12.2021: 1-10
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10624 |
Multi-metric comparison of machine learning imputation methods with application to breast cancer survival
Enthalten in BMC medical research methodology Bd. 24, 30.8.2024, Nr. 1, date:12.2024: 1-17
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10625 |
Multi-objective optimal trajectory planning for manipulators based on CMOSPBO
Enthalten in Autonomous intelligent systems Bd. 4, 1.11.2024, Nr. 1, date:12.2024: 1-18
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10626 |
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning
Enthalten in Journal of intelligent manufacturing Bd. 33, 12.2.2022, Nr. 4, date:4.2022: 1125-1138
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10627 |
Multi objective optimization of FDM 3D printing parameters set via design of experiments and machine learning algorithms
Enthalten in Scientific reports Bd. 15, 14.5.2025, Nr. 1, date:12.2025: 1-16
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10628 |
Multi-objective optimization of particle gluing operating parameters in particleboard production based on improved machine learning algorithms
Enthalten in Journal of wood science Bd. 68, 28.11.2022, Nr. 1, date:12.2022: 1-10
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10629 |
Multi-omics analysis and machine learning in the study of intestinal ischemia/reperfusion injury
Enthalten in Anesthesiology and perioperative science Bd. 3, 15.4.2025, Nr. 2, date:6.2025: 1-4
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10630 |
Multi-omics features of immunogenic cell death in gastric cancer identified by combining single-cell sequencing analysis and machine learning
Enthalten in Scientific reports Bd. 14, 18.9.2024, Nr. 1, date:12.2024: 1-17
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