Katalog der Deutschen Nationalbibliothek

Neuigkeiten Servicezeiten in Frankfurt am Main ab 1. Dezember 2025: Montag bis Freitag 9–18 Uhr und Samstag 10–16 Uhr
Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00
 
Neuigkeiten

Leichte Bedienung, intuitive Suche: Die Betaversion unseres neuen Katalogs ist online! → Zur Betaversion des neuen DNB-Katalogs

 
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"
im Bestand: Gesamter Bestand

42551 - 42560 von 42795
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Artikel 42551 Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm
Enthalten in Scientific reports Bd. 15, 16.7.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 42552 Utilizing machine learning to predict participant response to follow-up health surveys in the Millennium Cohort Study
Enthalten in Scientific reports Bd. 14, 28.10.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 42553 Utilizing machine learning to predict post-treatment outcomes in chronic non-specific neck pain patients undergoing cervical extension traction
Enthalten in Scientific reports Bd. 14, 23.5.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 42554 Utilizing Ni(II) complex for metal drug-gel particles in cervical cancer treatment and designing novel drugs through machine learning methods
Enthalten in Scientific reports Bd. 14, 5.3.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 42555 Utilizing reinforcement learning for de novo drug design
Enthalten in Machine learning Bd. 113, 8.4.2024, Nr. 7, date:7.2024: 4811-4843
Online Ressource
Artikel 42556 Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand
Enthalten in Scientific reports Bd. 15, 11.3.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 42557 Utilizing social media and machine learning for personality and emotion recognition using PERS
Enthalten in Neural computing & applications Bd. 35, 5.9.2023, Nr. 33, date:11.2023: 23927-23941
Online Ressource
Artikel 42558 Utilizing Supervised Machine Learning and Technical Indicators for Quantitative Trading to Improve Stock Market Trading Decisions
Enthalten in SN Computer Science Bd. 6, 26.5.2025, Nr. 5, date:6.2025: 1-17
Online Ressource
Artikel 42559 Utilizing the concept of risk in calibrating the vulnerability of coastal-alluvial aquifers based on machine learning methods
Enthalten in International journal of environmental science and technology Bd. 22, 5.9.2025, Nr. 16, date:12.2025: 16747-16762
Online Ressource
Artikel 42560 UWB anchor nodes self-calibration in NLOS conditions: a machine learning and adaptive PHY error correction approach
Enthalten in Wireless networks Bd. 27, 7.5.2021, Nr. 4, date:5.2021: 3007-3023
Online Ressource


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