USING BIDIRECTIONAL ASSOCIATIVE MEMORY NEURAL NETWORKS TO SOLVE THE N-BIT TASK


Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and Application

We propose a novel diffusion process having a mean function equal to the Pareto probability density function up to a constant of proportionality.We examine the probabilistic properties of the proposed model.Then, referring to the problem of statistical inference, we describe the approach employed to tackle opheliasmuse.com the issue of obtaining pa

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A Novel Contrastive Self-Supervised Learning Framework for Solving Data Imbalance in Solder Joint Defect Detection

Poor chip solder joints can severely affect the quality of the finished printed circuit boards (PCBs).Due to the diversity of solder joint defects and the scarcity of anomaly data, it is a challenging task to automatically and accurately detect all types of solder joint defects in the production process in real time.To address this issue, we propos

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