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Open access Oct 2026

Defect depth classification for deep surface-opening defects in stainless steel plates based on eddy current testing

As a non-destructive testing technique, eddy current testing (ECT) is widely applied in the industrial field, especially suitable for defect detection of non-magnetic metal components such as stainless steel. However, traditional ECT technology still has obvious limitations. This paper integrates deep learning with ECT...

Qian Zhao, Hui-Lin Zhang, Kai-Hao Shen et al. · 0 citations
Sep 2026

MS-SSCTGN: a multi-scale self-supervised contrastive spatiotemporal network for EEG-based emotion recognition

Graph convolutional networks (GCNs), owing to their capability to effectively process non-Euclidean data, have become one of the dominant approaches for decoding emotional states from electroencephalography (EEG) signals. However, current brain region division strategies exhibit limitations in information extraction, a...

Hua-Di Wang, Qian Zhao, Ke-Xuan Zhu · 0 citations

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