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27171 - 27180 von 32602

	27171	Minimal disease activity (MDA) in patients with recent-onset psoriatic arthritis: predictive model based on machine learning Enthalten in Arthritis Research & Therapy Bd. 24, 24.6.2022, Nr. 1, date:12.2022: 1-9
	27172	Minimax Deviation Strategies for Machine Learning and Recognition with Short Learning Samples Enthalten in Cybernetics and systems analysis Bd. 58, 7.1.2023, Nr. 6, date:11.2022: 862-875
	27173	Minimization of Empirical Risk as a Means of Choosing the Number of Hypotheses in Algebraic Machine Learning Enthalten in Pattern recognition and image analysis Bd. 33, 26.9.2023, Nr. 3, date:9.2023: 525-528
	27174	Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review Enthalten in BioData Mining Bd. 17, 18.6.2024, Nr. 1, date:12.2024: 1-26
	27175	Minimization of the threshold voltage parameter of the co-doped ZnO doped liquid crystals by machine learning algorithms Enthalten in Scientific reports Bd. 13, 7.8.2023, Nr. 1, date:12.2023: 1-14
	27176	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
	27177	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
	27178	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
	27179	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
	27180	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

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