Titlebook: Wavelet Analysis and Applications; Tao Qian,Mang I Vai,Yuesheng Xu Conference proceedings 2007 Birkhäuser Basel 2007 Approximation.Fourier

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flow is difficult to predict because of the sharp nonlinearity and randomness, a deep learning framework, i.e., the temporal convolutional network (TCN) was explored to capture the nonlinear spatiotemporal characteristics of traffic flow. By adjusting the hyper-parameters of TCN, a traffic flow pre

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2296-5009 elected and rigorously reviewed contributions giving a good .This volume reflects the latest developments in the area of wavelet analysis and its applications. Since the cornerstone lecture of Yves Meyer presented at the ICM 1990 in Kyoto, to some extent, wavelet analysis has often been said to be m

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Conference proceedings 2007ted at the ICM 1990 in Kyoto, to some extent, wavelet analysis has often been said to be mainly an applied area. However, a significant percentage of contributions now are connected to theoretical mathematical areas, and the concept of wavelets continuously stretches across various disciplines of ma

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Sung-Hwan Yoon,Nguyen Si Thin,Vo Thi Thanh Thao,Eun-Tak Im,Gwang-Yong Gimeally suited for independent study: it is self-contained andDesigned to form the basis of an undergraduate course in mathematical finance, this book builds on mathematical models of bond and stock prices and covers three major areas of mathematical finance that all have an enormous impact on the way

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