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26781 - 26790 von 28816

	26781	Retraction Note: Soft electronic material based sensor with optical network in sports application for player movement analysis using machine learning model Enthalten in Optical and quantum electronics Bd. 56, 13.11.2024, Nr. 11, date:11.2024: 1
	26782	Retraction Note: Transmission analysis by using federated machine learning model in optical access networks based multi-agent communication and routing system Enthalten in Optical and quantum electronics Bd. 56, 19.11.2024, Nr. 12, date:12.2024: 1
	26783	Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data Enthalten in Scientific reports Bd. 15, 2.5.2025, Nr. 1, date:12.2025: 1-12
	26784	Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods Enthalten in Scientific reports Bd. 15, 31.1.2025, Nr. 1, date:12.2025: 1-14
	26785	Retroactive data structure for protein–protein interaction in lung cancer using Dijkstra algorithm Enthalten in International journal of information technology Bd. 16, 22.12.2023, Nr. 2, date:2.2024: 1239-1251
	26786	Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients Enthalten in Scientific reports Bd. 14, 20.7.2024, Nr. 1, date:12.2024: 1-13
	26787	Retrospective Analysis of Radiofrequency Ablation in Patients with Small Solitary Hepatocellular Carcinoma: Survival Outcomes and Development of a Machine Learning Prognostic Model Enthalten in Current medical science Bd. 44, 30.9.2024, Nr. 5, date:10.2024: 1006-1017
	26788	Revealing accuracy in climate dynamics: enhancing evapotranspiration estimation using advanced quantile regression and machine learning models Enthalten in Applied water science Bd. 14, 24.6.2024, Nr. 7, date:7.2024: 1-22
	26789	Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning Enthalten in BMC neurology Bd. 18, 10.1.2018, Nr. 1, date:12.2018: 1-8
	26790	Revealing effective regional decarbonisation measures to limit global temperature increase in uncertain transition scenarios with machine learning techniques Enthalten in Climatic change Bd. 176, 16.6.2023, Nr. 7, date:7.2023: 1-23

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