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Neuigkeiten Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.
 
 
 


Ergebnis der Suche nach: "Machine Learning"
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Artikel 20121 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
Online Ressource
Artikel 20122 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
Online Ressource
Artikel 20123 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
Online Ressource
Artikel 20124 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
Online Ressource
Artikel 20125 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
Online Ressource
Artikel 20126 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
Online Ressource
Artikel 20127 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
Online Ressource


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