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181 - 190 von 194

	181	SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data Enthalten in Genome biology Bd. 25, 14.10.2024, Nr. 1, date:12.2024: 1-28
	182	Soil liquefaction in seismic events: pioneering predictive models using machine learning and advanced regression techniques Enthalten in Environmental earth sciences Bd. 83, 16.3.2024, Nr. 7, date:4.2024: 1-28
	183	SPT based determination of undrained shear strength: Regression models and machine learning Enthalten in Frontiers of structural and civil engineering Bd. 14, 28.12.2019, Nr. 1, date:2.2020: 185-198
	184	Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods Enthalten in Precision agriculture Bd. 23, 19.4.2022, Nr. 3, date:6.2022: 1093-1123
	185	Structural phase transformation in single-crystal Fe–Cr–Ni alloy during creep deformation using molecular dynamics simulation and regression-based machine learning methodology Enthalten in Bulletin of materials science Bd. 47, 26.12.2023, Nr. 1, date:3.2024: 1-11
	186	Terahertz metasurface biosensor for high-sensitivity salinity detection and data encoding with machine learning optimization based on random forest regression Enthalten in Optical and quantum electronics Bd. 56, 4.11.2024, Nr. 11, date:11.2024: 1-39
	187	The best performing color space and machine learning regression algorithm for the accurate estimation of chromium (VI) and iron (III) in aqueous samples using low-cost and portable flatbed scanner colorimetry Enthalten in Iranian Chemical Society: Journal of the Iranian Chemical Society Bd. 21, 6.8.2024, Nr. 9, date:9.2024: 2335-2349
	188	The regression analysis of dry - wet wear outcomes and materials properties of biodegradable MgCu and MgZn, made by P/M, using machine learning models Enthalten in Applied physics / A / Materials science & processing Bd. 131, 24.3.2025, Nr. 4, date:4.2025: 1-19
	189	The relative data hungriness of unpenalized and penalized logistic regression and ensemble-based machine learning methods: the case of calibration Enthalten in Diagnostic and prognostic research Bd. 8, 5.11.2024, Nr. 1, date:12.2024: 1-18
	190	Trihalomethane prediction model for water supply system based on machine learning and Log-linear regression Enthalten in Environmental geochemistry and health Bd. 46, 16.1.2024, Nr. 2, date:2.2024: 1-17

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