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Titlebook: Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series; A. Ramachandra Rao,En-Ching Hsu Book 2008 Springer Science

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發(fā)表于 2025-3-23 11:30:33 | 只看該作者
The method is especially useful for localizing objects in images. Here, we extend the method to the task of joint localization of several objects in a?2D-image by means of combining several centroids. The novel approach, i.e. joint optimization of several centroids and a?subsequent optimization of t
12#
發(fā)表于 2025-3-23 15:16:41 | 只看該作者
https://doi.org/10.1007/978-1-4020-6454-8Environmental and Hydrologic Time Series; Fourier transform; Hilbert-Huang Transform; Nonstationary Pro
13#
發(fā)表于 2025-3-23 21:53:09 | 只看該作者
Water Science and Technology Libraryhttp://image.papertrans.cn/h/image/427078.jpg
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發(fā)表于 2025-3-24 01:25:20 | 只看該作者
978-90-481-7645-8Springer Science+Business Media B.V. 2008
15#
發(fā)表于 2025-3-24 03:22:29 | 只看該作者
16#
發(fā)表于 2025-3-24 09:23:59 | 只看該作者
0921-092X uang transform (HHT) provide an adaptive and efficient method. The HHT is based on the local characteristic time scale of the data. The HHT method provides not only a precise definition in time-frequency representation than the other conventional signal processing methods, but also more physically m
17#
發(fā)表于 2025-3-24 10:46:46 | 只看該作者
Book 2008form (HHT) provide an adaptive and efficient method. The HHT is based on the local characteristic time scale of the data. The HHT method provides not only a precise definition in time-frequency representation than the other conventional signal processing methods, but also more physically meaningful
18#
發(fā)表于 2025-3-24 15:32:54 | 只看該作者
oral Association Rule Mining to detect rule dynamics, and consequently dynamics of tweets. We coined our methodology Transaction-based Rule Change Mining (TRCM). A number of patterns are identifiable in these rule dynamics including, new rules, emerging rules, unexpected rules and ‘dead’ rules. Also
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發(fā)表于 2025-3-24 20:23:06 | 只看該作者
20#
發(fā)表于 2025-3-25 00:33:16 | 只看該作者
A. Ramachandra Rao,En-Ching Hsud to diversify existing data as to improve lacking datasets, and data privacy, as the generated data, while next to real, can be shared without the original, protected model. A case study was done in an industry-recognized benchmark model, and the results completely support the use of the proposed m
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