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Post Prognostic Decision for Predictive Maintenance Planning with Remaining Useful Life Uncertainty
This paper investigates the use of the Particle Swarm Optimization (PSO) algorithm to quantify the effect of RUL uncertainty on predictive maintenance planning.
A CNN-based methodology for breast cancer diagnosis using thermal images
Methods: We performed a study of the influence of data pre-processing, data augmentation and database size versus a proposed set of CNN models.
Post-prognostics decision in Cyber-Physical Systems
Prognostics and Health Management (PHM) offers several benefits for predictive maintenance.
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