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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

34531 - 34540 von 41626

	34531	Machine-learning crystal size distribution for volcanic stratigraphy correlation Enthalten in Scientific reports Bd. 14, 30.12.2024, Nr. 1, date:12.2024: 1-10
	34532	Machine learning cutting forces in milling processes of functionally graded materials Enthalten in Advances in computational intelligence Bd. 2, 27.5.2022, Nr. 3, date:6.2022: 1-13
	34533	Machine learning decision support model construction for craniotomy approach of pineal region tumors based on MRI images Enthalten in BMC medical imaging Bd. 25, 27.5.2025, Nr. 1, date:12.2025: 1-12
	34534	Machine Learning Decomposition Onset Temperature of Lubricant Additives Enthalten in Journal of materials engineering and performance Bd. 29, 13.10.2020, Nr. 10, date:10.2020: 6605-6616
	34535	Machine learning derivation of four computable 24-h pediatric sepsis phenotypes to facilitate enrollment in early personalized anti-inflammatory clinical trials Enthalten in Critical care Bd. 26, 7.5.2022, Nr. 1, date:12.2022: 1-16
	34536	Machine learning derivation of two cardiac arrest subphenotypes with distinct responses to treatment Enthalten in Journal of translational medicine Bd. 23, 6.1.2025, Nr. 1, date:12.2025: 1-12
	34537	Machine-learning-derived classifier predicts absence of persistent pain after breast cancer surgery with high accuracy Enthalten in Breast cancer research and treatment Bd. 171, 6.6.2018, Nr. 2, date:9.2018: 399-411
	34538	Machine learning derived development and validation of extracellular matrix related signature for predicting prognosis in adolescents and young adults glioma Enthalten in Scientific reports Bd. 15, 7.8.2025, Nr. 1, date:12.2025: 1-17
	34539	Machine learning-derived diagnostic model of epithelial ovarian cancer based on gut microbiome signatures Enthalten in Journal of translational medicine Bd. 23, 13.3.2025, Nr. 1, date:12.2025: 1-23
	34540	Machine learning derived echocardiographic image quality in patients with left ventricular systolic dysfunction: insights on the echo views of greatest image quality Enthalten in The international journal of cardiovascular imaging Bd. 39, 8.5.2023, Nr. 7, date:7.2023: 1313-1321