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12151 - 12160 von 15164

	12151	Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease Enthalten in Scientific reports Bd. 8, 8.5.2018, Nr. 1, date:12.2018: 1-21
	12152	Model-free estimation of completeness, uncertainties, and outliers in atomistic machine learning using information theory Enthalten in Nature Communications Bd. 16, 29.4.2025, Nr. 1, date:12.2025: 1-13
	12153	Model-free tracking control of complex dynamical trajectories with machine learning Enthalten in Nature Communications Bd. 14, 14.9.2023, Nr. 1, date:12.2023: 1-11
	12154	Modeling and predicting meat yield and growth performance using morphological features of narrow-clawed crayfish with machine learning techniques Enthalten in Scientific reports Bd. 14, 9.8.2024, Nr. 1, date:12.2024: 1-14
	12155	Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms Enthalten in Friction Bd. 12, 2.4.2024, Nr. 6, date:6.2024: 1322-1340
	12156	Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media Enthalten in Scientific reports Bd. 10, 7.8.2020, Nr. 1, date:12.2020: 1-13
	12157	Modeling based on machine learning to investigate flue gas desulfurization performance by calcium silicate absorbent in a sand bed reactor Enthalten in Scientific reports Bd. 14, 10.1.2024, Nr. 1, date:12.2024: 1-20
	12158	Modeling climate change impacts and predicting future vulnerability in the Mount Kenya forest ecosystem using remote sensing and machine learning Enthalten in Environmental monitoring and assessment Bd. 197, 6.5.2025, Nr. 6, date:6.2025: 1-21
	12159	Modeling clinopyroxene-liquid trace element partition coefficients in the upper mantle: pioneering a machine learning approach Enthalten in Contributions to mineralogy and petrology Bd. 180, 3.6.2025, Nr. 6, date:6.2025: 1-19
	12160	Modeling crude oil pyrolysis process using advanced white-box and black-box machine learning techniques Enthalten in Scientific reports Bd. 13, 19.12.2023, Nr. 1, date:12.2023: 1-18

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