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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

1701 - 1710 von 1807

	1701	Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks Enthalten in Scientific reports Bd. 12, 5.12.2022, Nr. 1, date:12.2022: 1-13
	1702	Short-term and long-term solar irradiance forecasting with advanced machine learning techniques in Zafarana, Egypt Enthalten in Scientific reports Bd. 15, 12.11.2025, Nr. 1, date:12.2025: 1-15
	1703	Simplified reliability analysis of multi hazard risk in gravity dams via machine learning techniques Enthalten in Archives of civil and mechanical engineering Bd. 18, 9.11.2017, Nr. 2, date:6.2018: 592-610
	1704	Simulation and prediction of tribological behavior in AA7075/hBN/Graphene aluminium nanocomposites using hybrid ultrasonication and machine learning techniques Enthalten in International journal on interactive design and manufacturing Bd. 19, 27.8.2025, Nr. 11, date:11.2025: 7559-7578
	1705	Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques Enthalten in Journal of neuroEngineering and rehabilitation Bd. 20, 2.6.2023, Nr. 1, date:12.2023: 1-17
	1706	Skin Cancer Detection and Classification System by Applying Image Processing and Machine Learning Techniques Enthalten in Optical memory and neural networks Bd. 32, 25.9.2023, Nr. 3, date:9.2023: 197-203
	1707	Soft Clustering for Enhancing ITU Rain Model based on Machine Learning Techniques Enthalten in Wireless personal communications Bd. 120, 24.5.2021, Nr. 1, date:9.2021: 287-305
	1708	Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches Enthalten in Journal of building pathology and rehabilitation Bd. 9, 19.6.2024, Nr. 2, date:12.2024: 1-29
	1709	Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches Enthalten in Scientific reports Bd. 13, 4.9.2023, Nr. 1, date:12.2023: 1-21
	1710	Software defined networking based network traffic classification using machine learning techniques Enthalten in Scientific reports Bd. 14, 29.8.2024, Nr. 1, date:12.2024: 1-16