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Ergebnis der Suche nach: "Machine Learning"
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44501 - 44510 von 44516

	44501	XGBoost-based machine learning test improves the accuracy of hemorrhage prediction among geriatric patients with long-term administration of rivaroxaban Enthalten in BMC geriatrics Bd. 23, 10.7.2023, Nr. 1, date:12.2023: 1-12
	44502	XGBoost model for predicting erectile dysfunction risk after radical prostatectomy: development and validation using machine learning Enthalten in Discover oncology Bd. 16, 19.5.2025, Nr. 1, date:12.2025: 1-16
	44503	XGBoosting Cricket: Enhancing Predictive Modeling for Twenty20 Match Results Using Machine Learning and Statistical Techniques Enthalten in SN Computer Science Bd. 5, 9.11.2024, Nr. 8, date:12.2024: 1-7
	44504	XMID-MQTT: explaining machine learning-based intrusion detection system for MQTT protocol in IoT environment Enthalten in International journal of information security Bd. 24, 14.5.2025, Nr. 3, date:6.2025: 1-22
	44505	Year-round behavioural time budgets of common woodpigeons inferred from acceleration data using machine learning Enthalten in Behavioral ecology and sociobiology Bd. 77, 31.3.2023, Nr. 4, date:4.2023: 1-12
	44506	Year-round daily wildfire prediction and key factor analysis using machine learning: a case study of Gangwon State, South Korea Enthalten in Scientific reports Bd. 15, 15.8.2025, Nr. 1, date:12.2025: 1-12
	44507	YI 2.1 Pulse Wave Velocity Estimation from the Radial Pulse Waveform using Gaussian Process Regression: A Machine Learning Based Study Enthalten in Artery research Bd. 26, 31.12.2020, Nr. 1, date:12.2020: S12
	44508	Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean Enthalten in Plant methods Bd. 16, 1.6.2020, Nr. 1, date:12.2020: 1-16
	44509	Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorithms Enthalten in Discover food Bd. 5, 20.3.2025, Nr. 1, date:12.2025: 1-23
	44510	You are smarter than you think: (super) machine learning in context Enthalten in European journal of epidemiology Bd. 33, 9.5.2018, Nr. 5, date:5.2018: 437-440

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