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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. //
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Ergebnis der Suche nach: tit all "Machine Learning Techniques"
im Bestand: Gesamter Bestand

1621 - 1630 von 1808

	1621	Prediction of mustard yield using different machine learning techniques: a case study of Rajasthan, India Enthalten in International journal of biometeorology Bd. 67, 31.1.2023, Nr. 3, date:3.2023: 539-551
	1622	Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques Enthalten in Journal of Big Data Bd. 7, 26.8.2020, Nr. 1, date:12.2020: 1-22
	1623	Prediction of QTc Prolongation in Acute Poisoning with Atypical Antipsychotics Using Machine Learning Techniques: A Study from Poison Control Center Enthalten in Cardiovascular toxicology Bd. 25, 30.8.2025, Nr. 11, date:11.2025: 1732-1753
	1624	Prediction of shield tunneling-induced ground settlement using machine learning techniques Enthalten in Frontiers of structural and civil engineering Bd. 13, 7.9.2019, Nr. 6, date:12.2019: 1363-1378
	1625	Prediction of slope stability based on five machine learning techniques approaches: a comparative study Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 19.3.2025, Nr. 5, date:5.2025: 1-28
	1626	Prediction of soil liquefaction for railway embankment resting on fine soil deposits using enhanced machine learning techniques Enthalten in Journal of earth system science Bd. 132, 1.9.2023, Nr. 3, date:9.2023: 1-23
	1627	Prediction of soil salinity in the Upputeru river estuary catchment, India, using machine learning techniques Enthalten in Environmental monitoring and assessment Bd. 195, 28.7.2023, Nr. 8, date:8.2023: 1-19
	1628	Prediction of soil swelling using machine learning techniques Enthalten in Modeling earth systems and environment Bd. 11, 19.8.2025, Nr. 6, date:12.2025: 1-19
	1629	Prediction of Static Liquefaction Susceptibility of Sands Containing Plastic Fines Using Machine Learning Techniques Enthalten in Geotechnical and geological engineering Bd. 41, 3.4.2023, Nr. 5, date:7.2023: 3057-3074
	1630	Prediction of surface roughness in duplex stainless steel top milling using machine learning techniques Enthalten in The international journal of advanced manufacturing technology Bd. 134, 28.8.2024, Nr. 5-6, date:9.2024: 2939-2953