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Ergebnis der Suche nach: "Machine Learning"
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	1	Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning study Brandenburg, Johanna. - Reutlingen : Hochschule Reutlingen, 2026
	2	Machine learning predictions for regioselectivity of hydroformylation reactions: leveraging limited data for high-precision results Enthalten in Pure and applied chemistry Bd. 98, 2026, Nr. 1: 61-74. 14 S.
	3	EFLM checklist for the assessment of AI/ML studies in laboratory medicine: enhancing general medical AI frameworks for laboratory-specific applications Enthalten in Clinical chemistry and laboratory medicine Bd. 64, 2026, Nr. 1: 27-40. 14 S.
	4	The role of AI in pre-analytical phase – use cases Enthalten in Clinical chemistry and laboratory medicine Bd. 64, 2026, Nr. 1: 4-21. 18 S.
	5	Machine Learning based modulation format classification framework for inter-satellite optical wireless communication system (IsOWCS) Enthalten in Journal of optical communications Bd. 47, 2026, Nr. 1: 209-221. 13 S.
	6	Machine learning reveals strong grid-scale dependence in the satellite <italic>N</italic><sub>d</sub>–LWP relationship Enthalten in Atmospheric chemistry and physics Bd. 26, 2026, Nr. 1: 59-76. 18 S.
	7	Green Drug Discovery: Leveraging Biodiversity for Sustainable Pharmaceutical Solutions Enthalten in Chemistry & biodiversity Bd. 23, 2026, Nr. 1. 23 S.
	8	From Composition to Ionic Conductivity: Machine Learning‐Guided Discovery and Experimental Validation of Argyrodite‐Type Lithium‐Ion Electrolytes (Small 2/2026) Enthalten in Small Bd. 22, 2026, Nr. 2. 1 S.
	9	GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features Enthalten in Earth system science data Bd. 18, 2026, Nr. 1: 77-95. 19 S.
	10	Hybrid mechanics-informed machine learning models for predicting mechanical failure in graphene sponge: a low-data strategy for mechanical engineering applications Enthalten in Open engineering Bd. 15, 2026, Nr. 1. 13 S.

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Ergebnis der Suche nach: "Machine Learning"
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