Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
Decomposition is when we break a problem or task down into smaller parts to make it easier to tackle. Sometimes the problem is so big or so tricky that we don't know where to start. Breaking it down ...
Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem. However, their performance is highly sensitive to specific scenarios and often ...
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