Abstract: Seismic deconvolution is essential for extracting layer information from noisy seismic data, but it is an ill-posed problem with nonunique solutions. Inspired by classical optimization ...
Abstract: The detection of cyclic impulsive components, which serve as crucial indicators for extracting bearing faults, from vibration signals holds significant importance in fault diagnosis. The ...
Title: Robust Spatial Cell-Type Deconvolution with Qualitative Reference for Spatial Transcriptomics Description: QR-SIDE is a package for cell type deconvolution on spatial transcriptomics datasets ...
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