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Artikel 15881 The value of radiomics-based CT combined with machine learning in the diagnosis of occult vertebral fractures
Enthalten in BMC musculoskeletal disorders Bd. 24, 17.10.2023, Nr. 1, date:12.2023: 1-9
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Artikel 15882 The Zhu-Lu formula: a machine learning-based intraocular lens power calculation formula for highly myopic eyes
Enthalten in Eye and Vision Bd. 10, 1.6.2023, Nr. 1, date:12.2023: 1-10
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Artikel 15883 Theoretical investigations on analysis and optimization of freeze drying of pharmaceutical powder using machine learning modeling of temperature distribution
Enthalten in Scientific reports Bd. 15, 6.1.2025, Nr. 1, date:12.2025: 1-15
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Artikel 15884 Thermal maturity and TOC prediction using machine learning techniques: case study from the Cretaceous–Paleocene source rock, Taranaki Basin, New Zealand
Enthalten in Journal of petroleum exploration and production technology Bd. 10, 14.5.2020, Nr. 6, date:8.2020: 2175-2193
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Artikel 15885 Thermal performance prediction of a V-trough solar water heater with a modified twisted tape using ANFIS, G.L.R., R.T. and SVM models of machine learning
Enthalten in Scientific reports Bd. 14, 8.11.2024, Nr. 1, date:12.2024: 1-15
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Artikel 15886 Thermal performance, entropy generation, and machine learning insights of Al₂O₃-TiO₂ hybrid nanofluids in turbulent flow
Enthalten in Scientific reports Bd. 15, 8.5.2025, Nr. 1, date:12.2025: 1-20
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Artikel 15887 Thermodynamically-guided machine learning modelling for predicting the glass-forming ability of bulk metallic glasses
Enthalten in Scientific reports Bd. 12, 11.7.2022, Nr. 1, date:12.2022: 1-10
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Artikel 15888 Three-dimensional magnetic resonance imaging-based statistical shape analysis and machine learning-based prediction of patellofemoral instability
Enthalten in Scientific reports Bd. 14, 18.5.2024, Nr. 1, date:12.2024: 1-10
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Artikel 15889 Three-dimensional, multimodal synchrotron data for machine learning applications
Enthalten in Scientific data Bd. 12, 24.2.2025, Nr. 1, date:12.2025: 1-8
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Artikel 15890 Three-way decision in machine learning tasks: a systematic review
Enthalten in Artificial intelligence review Bd. 57, 2.8.2024, Nr. 9, date:9.2024: 1-56
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