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27321 - 27330 von 32532

	27321	Monte Carlo Simulation, Artificial Intelligence and Machine Learning-based Modelling and Optimization of Three-dimensional Electrochemical Treatment of Xenobiotic Dye Wastewater Enthalten in Environmental processes Bd. 11, 1.8.2024, Nr. 3, date:9.2024: 1-31
	27322	Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms Enthalten in Theoretical and applied climatology Bd. 125, 10.5.2015, Nr. 1-2, date:7.2016: 13-25
	27323	Mood detection and prediction using conventional machine learning techniques on COVID19 data Enthalten in Social network analysis and mining Bd. 12, 21.9.2022, Nr. 1, date:12.2022: 1-23
	27324	Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods Enthalten in BMC bioinformatics Bd. 22, 24.5.2021, Nr. 1, date:12.2021: 1-14
	27325	Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems Enthalten in Machine learning Bd. 113, 10.7.2024, Nr. 9, date:9.2024: 6697-6724
	27326	Moritz Hardt, Benjamin Recht: Patterns, Predictions, and Actions Enthalten in Mathematische Semesterberichte Bd. 72, 19.2.2025, Nr. 1, date:3.2025: 73-76
	27327	MORPHIOUS: an unsupervised machine learning workflow to detect the activation of microglia and astrocytes Enthalten in Journal of neuroinflammation Bd. 19, 29.1.2022, Nr. 1, date:12.2022: 1-20
	27328	Morphometric dataset of Varanus salvator for non-invasive sex identification using machine learning Enthalten in Scientific data Bd. 11, 5.4.2024, Nr. 1, date:12.2024: 1-4
	27329	Mortality predicting models for patients with infective endocarditis: a machine learning approach Enthalten in BMC medical informatics and decision making Bd. 25, 1.7.2025, Nr. 1, date:12.2025: 1-9
	27330	Mortality prediction in patients with hyperglycaemic crisis using explainable machine learning: a prospective, multicentre study based on tertiary hospitals Enthalten in Diabetology & metabolic syndrome Bd. 15, 11.3.2023, Nr. 1, date:12.2023: 1-11

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