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27151 - 27160 von 32567

	27151	Minimizing active canopy sensor differences in nitrogen status diagnosis and in-season nitrogen recommendation for maize with multi-source data fusion and machine learning Enthalten in Precision agriculture Bd. 24, 23.7.2023, Nr. 6, date:12.2023: 2549-2565
	27152	Minimum discrepancy principle strategy for choosing k in k-NN regression Enthalten in Machine learning Bd. 114, 10.3.2025, Nr. 5, date:5.2025: 1-33
	27153	Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy Enthalten in Journal of translational medicine Bd. 17, 21.11.2019, Nr. 1, date:12.2019: 1-16
	27154	Mining of soil data for predicting the paddy productivity by machine learning techniques Enthalten in Paddy and water environment Bd. 21, 15.2.2023, Nr. 2, date:4.2023: 231-242
	27155	Mining the Correlations Between Optical Micrographs and Mechanical Properties of Cold-Rolled HSLA Steels Using Machine Learning Approaches Enthalten in Integrating materials and manufacturing innovation Bd. 9, 8.9.2020, Nr. 3, date:9.2020: 240-256
	27156	MiPepid: MicroPeptide identification tool using machine learning Enthalten in BMC bioinformatics Bd. 20, 8.11.2019, Nr. 1, date:12.2019: 1-11
	27157	Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction Enthalten in BMC bioinformatics Bd. 17, 15.12.2016, Nr. 18, date:12.2016: 53-63
	27158	Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains Enthalten in Machine learning Bd. 112, 27.6.2023, Nr. 8, date:8.2023: 2845-2869
	27159	Misalignment Detection of a Rotating Machine Shaft Using a Support Vector Machine Learning Algorithm Enthalten in International journal of precision engineering and manufacturing Bd. 22, 1.2.2021, Nr. 3, date:3.2021: 409-416
	27160	MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery Enthalten in Nature computational science Bd. 4, 10.5.2024, Nr. 5, date:5.2024: 367-378

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