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26751 - 26760 von 32672

	26751	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
	26752	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
	26753	Machine-learning regression applied to diagnose horizontal visibility from mesoscale NWP model forecasts Enthalten in SN applied sciences Bd. 2, 5.3.2020, Nr. 4, date:4.2020: 1-13
	26754	Machine learning regression implementation for high-frequency seismic wave attenuation estimation in the Aswan Reservoir area, Egypt Enthalten in Environmental earth sciences Bd. 82, 3.6.2023, Nr. 12, date:6.2023: 1-25
	26755	Machine learning regressions and nappe visualization approach to investigate aeration performance of shape-modified sharp-crested weirs Enthalten in Modeling earth systems and environment Bd. 11, 29.1.2025, Nr. 2, date:4.2025: 1-18
	26756	Machine-learning reprogrammable metasurface imager Enthalten in Nature Communications Bd. 10, 6.3.2019, Nr. 1, date:12.2019: 1-8
	26757	Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review Enthalten in Archives of computational methods in engineering Bd. 30, 29.4.2023, Nr. 7, date:9.2023: 4177-4207
	26758	Machine learning revealed force-stress-fatigue damage correlation of high-speed train bogies Enthalten in Science China / Physics, mechanics & astronomy Bd. 69, 9.9.2025, Nr. 1, date:1.2026: 1-17
	26759	Machine learning revealed giant thermal conductivity reduction by strong phonon localization in two-angle disordered twisted multilayer graphene Enthalten in npj computational materials Bd. 11, 23.6.2025, Nr. 1, date:12.2025: 1-9
	26760	Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings Enthalten in Scientific reports Bd. 13, 10.8.2023, Nr. 1, date:12.2023: 1-13

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