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26481 |
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
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26482 |
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
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26483 |
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
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26484 |
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
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26485 |
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
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26486 |
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
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26487 |
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
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26488 |
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
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26489 |
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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26490 |
Revealing low-temperature plasma efficacy through a dose-rate assessment by DNA damage detection combined with machine learning models
Enthalten in Scientific reports Bd. 12, 1.11.2022, Nr. 1, date:12.2022: 1-10
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Administration
