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201 - 210 von 15140

	201	A new neural network–assisted hybrid chaotic hiking optimization algorithm for optimal design of engineering components Enthalten in Materials testing Bd. 67, 2025, Nr. 6: 1069-1078. 10 S.
	202	A self-portrayal of GI Junior Fellow Franziska Boenisch: trustworthy machine learning for individuals Enthalten in Information technology Bd. 67, 2025, Nr. 1: 8-12. 5 S.
	203	Advanced explainable models for strength evaluation of self-compacting concrete modified with supplementary glass and marble powders Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 21 S.
	204	Analyzing the compressive strength, eco-strength, and cost–strength ratio of agro-waste-derived concrete using advanced machine learning methods Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 18 S.
	205	Equation-driven strength prediction of GGBS concrete: a symbolic machine learning approach for sustainable development Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 18 S.
	206	Leveraging waste-based additives and machine learning for sustainable mortar development in construction Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 18 S.
	207	Novel protocol for metabolomics data normalization and biomarker discovery in human tears Enthalten in Clinical chemistry and laboratory medicine Bd. 63, 2025, Nr. 8: 1599-1609. 11 S.
	208	Advancements and challenges in high-sensitivity cardiac troponin assays: diagnostic, pathophysiological, and clinical perspectives Enthalten in Clinical chemistry and laboratory medicine Bd. 63, 2025, Nr. 7: 1260-1278. 019 S.
	209	From errors to excellence: the pre-analytical journey to improved quality in diagnostics. A scoping review Enthalten in Clinical chemistry and laboratory medicine Bd. 63, 2025, Nr. 7: 1243-1259. 17 S.
	210	Ionic surfactants critical micelle concentration modelling in water/organic solvent mixtures using random forest and support vector machine algorithms Enthalten in Tenside, surfactants, detergents Bd. 62, 2025, Nr. 1: 8-18. 11 S.

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