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Ain Shams Engineering Journal· 2026Q1

Hybrid Satin Bowerbird–Egret Swarm optimization driven iterative temporal CNN for high-accuracy analog circuit fault diagnosis

G. Puvaneswari, A. Ahilan, R. Sundar, C. Anuradha

Short summary

A novel hybrid deep learning framework (SbEO-ITCNN) achieves high accuracy (up to 99.62%) in analog circuit fault diagnosis by combining Wrapped Discrete Wavelet Transform feature extraction with an Iterative Temporal Convolutional Neural Network optimized by a hybrid Satin Bowerbird and Egret Swarm algorithm.

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Field: Hardware and Architecture

Hardware and ArchitectureComputer Science