Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43701 - 43710 von 43711

	43701	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
	43702	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
	43703	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
	43704	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
	43705	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
	43706	ZenGuard a machine learning based zero trust framework for context aware threat mitigation using SIEM SOAR and UEBA Enthalten in Scientific reports Bd. 15, 14.10.2025, Nr. 1, date:12.2025: 1-18
	43707	Zero and few shot action recognition in videos with caption semantic and generative assist Enthalten in International journal of information technology Bd. 16, 7.4.2024, Nr. 5, date:6.2024: 3121-3133
	43708	Zero-Day Malware Classification and Detection Using Machine Learning Enthalten in SN Computer Science Bd. 5, 12.12.2023, Nr. 1, date:1.2024: 1-9
	43709	ZnO nanoflower-mediated paper-based electrochemical biosensor for perfect classification of cardiac biomarkers with physics-informed machine learning Enthalten in Microchimica acta Bd. 192, 26.3.2025, Nr. 4, date:4.2025: 1-13
	43710	Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm Enthalten in Natural hazards Bd. 104, 19.8.2020, Nr. 1, date:10.2020: 537-579

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