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"Machine Learning"
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26361 - 26370 von 29199
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26361
Prediction of ultimate strength for high strength concrete (HSC) using machine learning approaches - optimized by PSO technique
Enthalten in Discover computing Bd. 28, 24.3.2025, Nr. 1, date:12.2025: 1-20
26362
Prediction of Uniaxial Compressive Strength of Rock Using Machine Learning
Enthalten in Institution of Engineers, India. Karnataka State Centre: Journal of the Institution of Engineers (India) / Series A Bd. 103, 9.10.2022, Nr. 4, date:12.2022: 1209-1224
26363
Prediction of urban water accumulation points and water accumulation process based on machine learning
Enthalten in Earth science informatics Bd. 14, 18.9.2021, Nr. 4, date:12.2021: 2317-2328
26364
Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables
Enthalten in BMC medical informatics and decision making Bd. 25, 9.1.2025, Nr. 1, date:12.2025: 1-12
26365
Prediction of vaccine hesitancy based on social media traffic among Israeli parents using machine learning strategies
Enthalten in Israel Journal of Health Policy Research Bd. 10, 23.8.2021, Nr. 1, date:12.2021: 1-8
26366
Prediction of very early subclinical rejection with machine learning in kidney transplantation
Enthalten in Scientific reports Bd. 13, 16.12.2023, Nr. 1, date:12.2023: 1-11
26367
Prediction of violence in male schizophrenia using sMRI, based on machine learning algorithms
Enthalten in BMC psychiatry Bd. 22, 1.11.2022, Nr. 1, date:12.2022: 1-7
26368
Prediction of viral oncoproteins through the combination of generative adversarial networks and machine learning techniques
Enthalten in Scientific reports Bd. 14, 7.11.2024, Nr. 1, date:12.2024: 1-11
26369
Prediction of viscosity of Mg and Al alloy melts by machine learning
Enthalten in Journal of materials science Bd. 60, 14.5.2025, Nr. 19, date:5.2025: 8133-8147
26370
Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning
Enthalten in Scientific reports Bd. 12, 16.9.2022, Nr. 1, date:12.2022: 1-11
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