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26861 - 26870 von 32705

	26861	Machine learning techniques for monitoring the sludge profile in a secondary settler tank Enthalten in Applied water science Bd. 9, 20.7.2019, Nr. 6, date:8.2019: 1-11
	26862	Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study Enthalten in BMC medical research methodology Bd. 20, 20.10.2020, Nr. 1, date:12.2020: 1-12
	26863	Machine learning techniques for non-destructive estimation of plum fruit weight Enthalten in Scientific reports Bd. 15, 4.1.2025, Nr. 1, date:12.2025: 1-20
	26864	Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models Enthalten in Breast cancer research Bd. 21, 20.6.2019, Nr. 1, date:12.2019: 1-11
	26865	Machine learning techniques for prediction of failure loads and fracture characteristics of high and ultra-high strength concrete beams Enthalten in Innovative infrastructure solutions Bd. 8, 27.7.2023, Nr. 8, date:8.2023: 1-20
	26866	Machine learning techniques for prediction of multiple sclerosis progression Enthalten in Soft computing Bd. 26, 22.9.2022, Nr. 22, date:11.2022: 12041-12055
	26867	Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review Enthalten in Discover civil engineering Bd. 2, 1.5.2025, Nr. 1, date:12.2025: 1-21
	26868	Machine learning techniques for recycled aggregate concrete strength prediction and its characteristics between the hardened features of concrete Enthalten in Arabian journal of geosciences Bd. 14, 10.11.2021, Nr. 22, date:11.2021: 1-20
	26869	Machine learning techniques for reference evapotranspiration and rice irrigation requirements prediction: a case study of Kerian irrigation scheme, Malaysia Enthalten in Paddy and water environment Bd. 23, 23.7.2025, Nr. 4, date:10.2025: 671-683
	26870	Machine learning techniques for robotic and autonomous inspection of mechanical systems and civil infrastructure Enthalten in Autonomous intelligent systems Bd. 2, 29.4.2022, Nr. 1, date:12.2022: 1-25

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