Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...

Abstract: The paper researches math model about equipment failure rate, in order to forecast exactly equipment failure rate and advance equipment integrity rate and mission success rate and reserve ...

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, ...