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Ergebnis der Suche nach: "Machine Learning"
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27111 - 27120 von 32532

	27111	Mine Internal Dump Optimum Geometric Design Parameters Identification for Mine Ground Floor Inclination Conditions Using Numerical Modelling and Machine Learning Enthalten in Mining, metallurgy & exploration Bd. 42, 4.9.2025, Nr. 5, date:10.2025: 2813-2838
	27112	Mineral resource estimation using spatial copulas and machine learning optimized with metaheuristics in a copper deposit Enthalten in Earth science informatics Bd. 18, 30.9.2025, Nr. 4, date:12.2025: 1-27
	27113	MINER: exploratory analysis of gene interaction networks by machine learning from expression data Enthalten in BMC genomics Bd. 10, 3.12.2009, Nr. 3, date:12.2009: 1-8
	27114	Miniaturized hand-held near-infrared spectroscopy and machine learning for precision monitoring of solid fat content Enthalten in Journal of food measurement and characterization Bd. 18, 27.4.2024, Nr. 6, date:6.2024: 4417-4428
	27115	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
	27116	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
	27117	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
	27118	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
	27119	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
	27120	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

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