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Deep Content-Dependent 3-D Convolutional Sparse Coding for Hyperspectral Image Denoising
Published 2024-01-01“…Furthermore, by exploiting the lightweight of separable convolution and the adaptability of hypernetwork, we design a separable content-dependent 3D Convolution (SCD-Conv) to carry out CD-CSCNet. …”
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IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting
Published 2024-11-01“…Most of the existing traffic flow forecasting methods are static graph convolutional networks based on prior knowledge, ignoring the special spatial–temporal dynamics of spatial–temporal data. …”
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