AN ENTROPIC ESTIMATOR FOR LINEAR INVERSE PROBLEMS

An Entropic Estimator for Linear Inverse Problems

In this paper we examine an Information-Theoretic method for solving noisy linear inverse estimation<em> </em>problems which encompasses under a single framework a whole class of estimation TV methods.Under this framework, the prior information about the unknown parameters (when such information exists), and constraints on the parameter

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Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks

Abstract The belt conveyor (BC) is Jigsaw Puzzle (Chipboard Material) the main means of horizontal transportation of bulk materials at mining sites.The sudden fault in BC modules may cause unexpected stops in production lines.With the increasing number of applications of inspection mobile robots in condition monitoring (CM) of industrial infrastruc

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