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: tit all "Machine Learning Techniques"
im Bestand: Gesamter Bestand

1761 - 1770 von 1804
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Artikel 1761 Ultrasound-Based Ovarian Cysts Detection with Improved Machine-Learning Techniques and Stage Classification Using Enhanced Classifiers
Enthalten in SN Computer Science Bd. 4, 29.7.2023, Nr. 5, date:9.2023: 1-11
Online Ressource
Artikel 1762 Understanding live oil composition effect on asphaltene precipitation as a function of temperature change during depressurization using machine learning techniques
Enthalten in Chemical papers Bd. 79, 16.11.2024, Nr. 1, date:1.2025: 353-364
Online Ressource
Artikel 1763 Unified mRNA Subcellular Localization Predictor based on machine learning techniques
Enthalten in BMC genomics Bd. 25, 7.2.2024, Nr. 1, date:12.2024: 1-18
Online Ressource
Artikel 1764 Unmasking the sky: high-resolution PM2.5 prediction in Texas using machine learning techniques
Enthalten in Journal of exposure science & environmental epidemiology Bd. 34, 1.4.2024, Nr. 5, date:9.2024: 814-820
Online Ressource
Artikel 1765 Unraveling Magnesium Alloy Corrosion Patterns Through Unsupervised Machine Learning: Exploring Clustering Techniques for Enhanced Insight
Enthalten in JOM Bd. 76, 5.6.2024, Nr. 8, date:8.2024: 4388-4403
Online Ressource
Artikel 1766 Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media
Enthalten in Social network analysis and mining Bd. 14, 4.4.2024, Nr. 1, date:12.2024: 1-33
Online Ressource
Artikel 1767 Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets
Enthalten in Archives of toxicology Bd. 97, 21.8.2023, Nr. 11, date:11.2023: 2969-2981
Online Ressource
Artikel 1768 Unravelling rainfall trends: A comprehensive study of urban precipitation using innovative statistical and machine learning techniques in major cities of India
Enthalten in Journal of earth system science Bd. 134, 23.7.2025, Nr. 3, date:9.2025: 1-11
Online Ressource
Artikel 1769 Unveiling the Cutting Edge: A Comprehensive Survey of Localization Techniques in WSN, Leveraging Optimization and Machine Learning Approaches
Enthalten in Wireless personal communications Bd. 132, 29.9.2023, Nr. 4, date:10.2023: 2293-2362
Online Ressource
Artikel 1770 Use of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study
Enthalten in European journal of medical research Bd. 29, 3.1.2024, Nr. 1, date:12.2024: 1-9
Online Ressource


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