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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Shi-Hong Liu

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Open access Sep 2026

A dual-branch multidimensional attention fusion network for EEG-based fatigue classification

A lightweight Dual-Branch Multidimensional Attention Fusion Network (DB-MDAFNet) that integrates spectral-temporal features and PCC-derived inter-channel dependency representations for EEG-based fatigue classification provides a lightweight and interpretable architecture for EEG-based fatigue monitoring.

Jing-Qing Lu, Shi-Hong Liu, Wei Li et al. · 0 citations
Open access Jul 2026

HADANet: hybrid attentive domain adaptation for cross-subject motor imagery EEG decoding

A Hybrid Attentive Domain Adaptation Network (HADANet) for cross-subject motor imagery EEG decoding is proposed, which employs a hierarchical convolutional feature extractor to capture complementary temporal and spectral characteristics of EEG signals.

Ding-Ming Wu, Meng-Ping Tang, Shi-Hong Liu · 0 citations

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