SEMANTIC SEGMENTATION OF THERMAL DEFECTS IN BELT CONVEYOR IDLERS USING THERMAL IMAGE AUGMENTATION AND U-NET-BASED CONVOLUTIONAL NEURAL NETWORKS

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 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 infrastructure in hazardous environments, in

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The effect of macromolecular crowding on the electrostatic component of barnase-barstar binding: a computational, implicit solvent-based study.

Macromolecular crowding within the cell can impact both protein folding and binding.Earlier models of cellular crowding focused on the excluded volume, entropic effect of crowding agents, which generally favors compact protein states.Recently, other effects of crowding have been explored, including enthalpically-related crowder-protein interactions

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