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

1581 - 1590 von 1808
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Artikel 1581 Predicting preterm birth using machine learning techniques in oral microbiome
Enthalten in Scientific reports Bd. 13, 30.11.2023, Nr. 1, date:12.2023: 1-7
Online Ressource
Artikel 1582 Predicting quetiapine dose in patients with depression using machine learning techniques based on real-world evidence
Enthalten in Annals of general psychiatry Bd. 23, 6.1.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 1583 Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques
Enthalten in BMC medical informatics and decision making Bd. 25, 6.6.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 1584 Predicting sediment deposition rate in check-dams using machine learning techniques and high-resolution DEMs
Enthalten in Environmental earth sciences Bd. 80, 14.5.2021, Nr. 10, date:5.2021: 1-19
Online Ressource
Artikel 1585 Predicting soil cone index and assessing suitability for wind and solar farm development in using machine learning techniques
Enthalten in Scientific reports Bd. 14, 5.2.2024, Nr. 1, date:12.2024: 1-15
Online Ressource
Artikel 1586 Predicting the antenna properties of helicon plasma thrusters using machine learning techniques
Enthalten in Journal of electric propulsion Bd. 3, 5.3.2024, Nr. 1, date:12.2024: 1-24
Online Ressource
Artikel 1587 Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive testing
Enthalten in Journal of civil structural health monitoring Bd. 10, 6.3.2020, Nr. 3, date:7.2020: 389-403
Online Ressource
Artikel 1588 Predicting the daily closing price of selected shares on the Dhaka Stock Exchange using machine learning techniques
Enthalten in SN business & economics Bd. 1, 24.3.2021, Nr. 4, date:4.2021: 1-16
Online Ressource
Artikel 1589 Predicting the efficiency of bare silica-based nano-fluid flooding in sandstone reservoirs for enhanced oil recovery through machine learning techniques using experimental data
Enthalten in Applied nanoscience Bd. 12, 1.7.2022, Nr. 8, date:8.2022: 2367-2377
Online Ressource
Artikel 1590 Predicting the impact of internet usage on students’ academic performance using machine learning techniques in Bangladesh perspective
Enthalten in Social network analysis and mining Bd. 14, 21.3.2024, Nr. 1, date:12.2024: 1-41
Online Ressource


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