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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26251 - 26260 von 29583

	26251	Predicting the compressive strength of high-performance concrete using an interpretable machine learning model Enthalten in Scientific reports Bd. 14, 16.11.2024, Nr. 1, date:12.2024: 1-18
	26252	Predicting the compressive strength of ultra-high-performance concrete using a decision tree machine learning model enhanced by the integration of two optimization meta-heuristic algorithms Enthalten in Journal of engineering and applied science Bd. 71, 14.2.2024, Nr. 1, date:12.2024: 1-17
	26253	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
	26254	Predicting the cooling and heating loads of energy efficient buildings: a hybrid machine learning approach Enthalten in Cluster computing Bd. 28, 28.4.2025, Nr. 5, date:10.2025: 1-18
	26255	Predicting the crystalline phase generation effectively in monosized granular matter using machine learning Enthalten in Granular matter Bd. 24, 1.12.2021, Nr. 1, date:2.2022: 1-13
	26256	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
	26257	Predicting the daily return direction of the stock market using hybrid machine learning algorithms Enthalten in Financial innovation Bd. 5, 15.6.2019, Nr. 1, date:12.2019: 1-20
	26258	Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models Enthalten in BMC medical informatics and decision making Bd. 23, 25.9.2023, Nr. 1, date:12.2023: 1-10
	26259	Predicting the duration of motorway incidents using machine learning Enthalten in European transport research review Bd. 16, 19.2.2024, Nr. 1, date:12.2024: 1-12
	26260	Predicting the effect of climate change on the spatiotemporal distribution of two endangered plant species, Silene leucophylla Boiss. and Silene schimperiana Boiss., using machine learning, in Saint Catherine Protected Area, Egypt Enthalten in Ǧāmiʿat Banī-Suwaif: Beni-Suef University Journal of Basic and Applied Sciences Bd. 13, 30.9.2024, Nr. 1, date:12.2024: 1-23

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Ergebnis der Suche nach: "Machine Learning" im Bestand: Gesamter Bestand

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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand