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27371 - 27380 von 32660

	27371	Modelling of pigeon inspired optimization based segment routing in QoS aware software defined networks Enthalten in International journal of information technology Bd. 15, 30.5.2023, Nr. 5, date:6.2023: 2499-2508
	27372	Modelling of pome fruit pollen performance using machine learning Enthalten in Scientific reports Bd. 15, 26.2.2025, Nr. 1, date:12.2025: 1-9
	27373	Modelling of symmetrical quadrature optical ring resonator with four different topologies and performance analysis using machine learning approach Enthalten in Journal of optical communications Bd. 44, 2021, Nr. s1: s327-s337. 11 S.
	27374	Modelling of total dissolved solids in water supply systems using regression and supervised machine learning approaches Enthalten in Applied water science Bd. 11, 14.1.2021, Nr. 2, date:2.2021: 1-16
	27375	Modelling Short-Term Appliance Energy Use with Interpretable Machine Learning: A System Identification Approach Enthalten in The Arabian journal for science and engineering Bd. 48, 12.7.2023, Nr. 11, date:11.2023: 15667-15678
	27376	Modelling soil temperature at multiple depths in Saurashtra region (Junagadh) of Gujarat using machine learning and shapely approach Enthalten in Discover applied sciences Bd. 7, 25.8.2025, Nr. 9, date:9.2025: 1-23
	27377	Modelling spatiotemporal concentrations of PM2.5 over Nigerian cities using machine learning algorithms and open-source data Enthalten in Modeling earth systems and environment Bd. 11, 26.12.2024, Nr. 1, date:2.2025: 1-17
	27378	MODELLING THE CHLOROPHYLL-A CONCENTRATION OF LAGUNA LAKE USING HIMAWARI-8 SATELLITE IMAGERY AND MACHINE LEARNING ALGORITHMS FOR NEAR REAL TIME MONITORING Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVI-4/W3-2021, 2022: 211-214. 4 S.
	27379	Modelling the mechanical properties of concrete produced with polycarbonate waste ash by machine learning Enthalten in Scientific reports Bd. 14, 21.5.2024, Nr. 1, date:12.2024: 1-24
	27380	Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning Enthalten in Parasites & vectors Bd. 13, 15.4.2020, Nr. 1, date:12.2020: 1-18

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