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"Machine Learning"
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26731 - 26740 von 32660
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26731
Machine learning quantification of grain boundary defects for high efficiency perovskite solar cells
Enthalten in Advanced composites and hybrid materials Bd. 7, 14.11.2024, Nr. 6, date:12.2024: 1-8
26732
Machine Learning Radiomics Liver Function Model for Prognostic Prediction After Radical Resection of Advanced Gastric Cancer: A Retrospective Study
Enthalten in Annals of surgical oncology Bd. 31, 19.12.2023, Nr. 3, date:3.2024: 1749-1759
26733
Machine learning radiomics of magnetic resonance imaging predicts recurrence-free survival after surgery and correlation of LncRNAs in patients with breast cancer: a multicenter cohort study
Enthalten in Breast cancer research Bd. 25, 1.11.2023, Nr. 1, date:12.2023: 1-14
26734
Machine learning radiomics to predict the early recurrence of intrahepatic cholangiocarcinoma after curative resection: A multicentre cohort study
Enthalten in European journal of nuclear medicine and molecular imaging Bd. 50, 16.3.2023, Nr. 8, date:7.2023: 2501-2513
26735
Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer
Enthalten in Scientific reports Bd. 15, 4.2.2025, Nr. 1, date:12.2025: 1-12
26736
Machine learning-ready remote sensing data for Maya archaeology
Enthalten in Scientific data Bd. 10, 23.8.2023, Nr. 1, date:12.2023: 1-13
26737
Machine learning reduced workload for the Cochrane COVID-19 Study Register: development and evaluation of the Cochrane COVID-19 Study Classifier
Enthalten in Systematic Reviews Bd. 11, 22.1.2022, Nr. 1, date:12.2022: 1-8
26738
Machine learning reduces soft costs for residential solar photovoltaics
Enthalten in Scientific reports Bd. 13, 3.5.2023, Nr. 1, date:12.2023: 1-14
26739
Machine learning regression algorithms for predicting the susceptibility of jointed rock slopes to planar failure
Enthalten in Earth science informatics Bd. 17, 3.4.2024, Nr. 3, date:6.2024: 2477-2493
26740
Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data
Enthalten in Scientific reports Bd. 13, 31.10.2023, Nr. 1, date:12.2023: 1-10
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