Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: tit all "Pattern Recognition"
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2461 - 2470 von 2580

	2461	Real-time damage analysis of 2D C/SiC composite based on spectral characters of acoustic emission signals using pattern recognition Enthalten in Acta mechanica Sinica Bd. 38, 16.8.2022, Nr. 10, date:10.2022: 1-18
	2462	Real-time drone detection framework based on advanced texture feature extraction and pattern recognition model using GUI Enthalten in Neural computing & applications Bd. 37, 14.12.2024, Nr. 5, date:2.2025: 3435-3454
	2463	Real-time ensemble based face recognition system for NAO humanoids using local binary pattern Enthalten in Analog integrated circuits and signal processing Bd. 92, 28.6.2017, Nr. 3, date:9.2017: 467-475
	2464	Recent trends in image processing and pattern recognition Enthalten in Multimedia tools and applications Bd. 79, 27.10.2020, Nr. 47-48, date:12.2020: 34697-34699
	2465	Recognition of the dense fine speckled (DFS) pattern remains challenging: results from an international internet-based survey Enthalten in Autoimmunity highlights Bd. 7, 9.7.2016, Nr. 1, date:12.2016: 1-7
	2466	Recognition of the initial position of weld based on the image pattern match technology for welding robot Enthalten in The international journal of advanced manufacturing technology Bd. 26, 1.10.2005, Nr. 7-8, date:10.2005: 784-788
	2467	Recognizing intertwined patterns using a network of spiking pattern recognition platforms Enthalten in Scientific reports Bd. 12, 14.11.2022, Nr. 1, date:12.2022: 1-17
	2468	Reconstructing three-dimensional wake topology based on planar PIV measurements and pattern recognition analysis Enthalten in Experiments in fluids Bd. 57, 17.9.2016, Nr. 10, date:10.2016: 1-13
	2469	Regression Estimate of a Multidimensional Decision Function in the Two-Alternative Pattern-Recognition Problem Enthalten in Pattern recognition and image analysis Bd. 28, 15.3.2018, Nr. 1, date:1.2018: 11-16
	2470	Relaxometric learning: a pattern recognition method for T 2 relaxation curves based on machine learning supported by an analytical framework Enthalten in BMC chemistry Bd. 15, 20.2.2021, Nr. 1, date:12.2021: 1-8