Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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39481 - 39490 von 39490

	39481	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
	39482	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
	39483	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
	39484	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
	39485	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
	39486	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
	39487	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
	39488	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
	39489	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
	39490	Zuverlässigkeit von KI in der Multimedia-Forensik Enthalten in Datenschutz und Datensicherheit Bd. 47, 14.4.2023, Nr. 4, date:4.2023: 215-219

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