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Article
Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification
(Elsevier, 2020)
Modelling complex processes from raw time series increases the necessity to build DeepLearning (DL) architectures that can manage this type of data structure. However, as DLmodels become deeper, larger and more diverse ...
Article
A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
(Elsevier, 2020)
This paper focuses on power system fault diagnosis based on Weighted Corrective Fuzzy Reasoning Spiking Neural P Systems with real numbers (rWCFRSNPSs) to propose a graphic fault diagnosis method, called FDWCFRSNPS. In ...