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12231 - 12240 von 15140

	12231	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
	12232	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.
	12233	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
	12234	Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons Enthalten in Scientific reports Bd. 15, 23.9.2025, Nr. 1, date:12.2025: 1-23
	12235	Multi-machine learning model based on radiomics features to predict prognosis of muscle-invasive bladder cancer Enthalten in BMC cancer Bd. 25, 1.7.2025, Nr. 1, date:12.2025: 1-14
	12236	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
	12237	Multi-objective artificial-intelligence-based parameter tuning of antennas using variable-fidelity machine learning Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-25
	12238	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
	12239	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
	12240	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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