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Ergebnis der Suche nach: "Machine Learning"
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34321 - 34330 von 37179

	34321	Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data Enthalten in BMC bioinformatics Bd. 21, 11.3.2020, Nr. 2, date:3.2020: 1-10
	34322	Prediction of two groundwater sustainability indicators in semi-arid aquifers using machine learning Enthalten in Environmental earth sciences Bd. 84, 20.5.2025, Nr. 11, date:5.2025: 1-31
	34323	Prediction of Type 2 Diabetes Mellitus According to Glucose Metabolism Patterns in Pregnancy Using a Novel Machine Learning Algorithm Enthalten in Journal of medical and biological engineering Bd. 42, 28.1.2022, Nr. 1, date:2.2022: 138-144
	34324	Prediction of type 2 diabetes mellitus using hematological factors based on machine learning approaches: a cohort study analysis Enthalten in Scientific reports Bd. 13, 12.1.2023, Nr. 1, date:12.2023: 1-11
	34325	Prediction of Ultimate Bearing Capacity of Aggregate Pier Reinforced Clay Using Machine Learning Enthalten in International journal of geosynthetics and ground engineering Bd. 7, 30.5.2021, Nr. 2, date:6.2021: 1-16
	34326	Prediction of ultimate load carrying capacity of short cold-formed steel built-up lipped channel columns using machine learning approach Enthalten in Sādhāna Bd. 47, 15.10.2022, Nr. 4, date:12.2022: 1-13
	34327	Prediction of ultimate strength and strain in FRP wrapped oval shaped concrete columns using machine learning Enthalten in Scientific reports Bd. 15, 28.3.2025, Nr. 1, date:12.2025: 1-22
	34328	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
	34329	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
	34330	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

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