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27091 - 27100 von 32569

	27091	Metakaolin as a soil stabilizing admixture: A comprehensive analysis of California bearing ratio and consolidation behavior using experimental and machine learning approaches Enthalten in Earth science informatics Bd. 18, 22.1.2025, Nr. 2, date:2.2025: 1-31
	27092	Metal oxide-based gas sensor array for VOCs determination in complex mixtures using machine learning Enthalten in Microchimica acta Bd. 191, 13.3.2024, Nr. 4, date:4.2024: 1-20
	27093	Metal–semiconductor sulfide bilayer based SPR fiber optic sensors for the detection of methanol adulteration of ethanol using machine learning algorithms: an investigative study Enthalten in Optical and quantum electronics Bd. 56, 28.9.2024, Nr. 10, date:10.2024: 1-20
	27094	Metallurgical Mechanism Guided Machine Learning to Predict Slag Entrapment Behavior during Ladle Refining with Bottom Blowing Enthalten in Metallurgical and materials transactions / B / Process metallurgy and materials processing science Bd. 55, 1.4.2024, Nr. 3, date:6.2024: 1869-1880
	27095	Metallurgy, mechanistic models and machine learning in metal printing Enthalten in Nature reviews / Materials Bd. 6, 2.10.2020, Nr. 1, date:1.2021: 48-68
	27096	Metamaterial based tri-band compact MIMO antenna system for 5G IoT applications with machine learning performance verification Enthalten in Scientific reports Bd. 15, 2.7.2025, Nr. 1, date:12.2025: 1-22
	27097	METASPACE-ML: Context-specific metabolite annotation for imaging mass spectrometry using machine learning Enthalten in Nature Communications Bd. 15, 22.10.2024, Nr. 1, date:12.2024: 1-16
	27098	Metastable vacua from torsion and machine learning Enthalten in The European physical journal / C / Particles and fields Bd. 82, 14.12.2022, Nr. 12, date:12.2022: 1-14
	27099	Meteorological factors cannot be ignored in machine learning-based methods for predicting dengue, a systematic review Enthalten in International journal of biometeorology Bd. 68, 27.12.2023, Nr. 3, date:3.2024: 401-410
	27100	Meteorological factors for subarachnoid hemorrhage in the greater Düsseldorf area revisited: a machine learning approach to predict the probability of admission of patients with subarachnoid hemorrhage Enthalten in Acta neurochirurgica Bd. 162, 23.11.2019, Nr. 1, date:1.2020: 187-195

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