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Ergebnis der Suche nach: "Machine Learning"
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34261 - 34270 von 37546

	34261	Predicting the value of football players: machine learning techniques and sensitivity analysis based on FIFA and real-world statistical datasets Enthalten in Applied intelligence Bd. 55, 4.1.2025, Nr. 4, date:2.2025: 1-26
	34262	Predicting the Viscosity of CaF2-Based Slag and Reverse Design of Electroslag Systems Using Explainable Machine Learning Enthalten in Metallurgical and materials transactions / B / Process metallurgy and materials processing science Bd. 56, 14.4.2025, Nr. 3, date:6.2025: 3125-3139
	34263	Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability Enthalten in Scientific reports Bd. 15, 8.3.2025, Nr. 1, date:12.2025: 1-22
	34264	Predicting thermal conductivity of granite subjected to high temperature using machine learning techniques Enthalten in Environmental earth sciences Bd. 84, 15.4.2025, Nr. 8, date:4.2025: 1-18
	34265	Predicting thermodynamic stability of inorganic compounds using ensemble machine learning based on electron configuration Enthalten in Nature Communications Bd. 16, 2.1.2025, Nr. 1, date:12.2025: 1-15
	34266	Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms Enthalten in Scientific reports Bd. 13, 30.9.2023, Nr. 1, date:12.2023: 1-13
	34267	Predicting tool life and sound pressure levels in dry turning using machine learning models Enthalten in The international journal of advanced manufacturing technology Bd. 135, 31.10.2024, Nr. 7-8, date:12.2024: 3777-3793
	34268	Predicting torsional capacity of reinforced concrete members by data-driven machine learning models Enthalten in Frontiers of structural and civil engineering Bd. 18, 28.5.2024, Nr. 3, date:3.2024: 444-460
	34269	Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors Enthalten in BMC health services research Bd. 25, 12.3.2025, Nr. 1, date:12.2025: 1-27
	34270	PREDICTING TRAFFIC CONGESTION DURING COVID19 USING HUMAN MOBILITY AND STREET-WASTE FEATURES Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4/W3-2022, 2022: 301-308. 8 S.

34261 - 34270 von 37546

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