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Author

Weishen Chu

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#explainable ai Open access Oct 2026

Explainable artificial intelligence for secure and privacy-preserving 5 G networks

Explainable artificial intelligence (XAI) is increasingly relevant to the security, privacy, and governance of AI-enabled 5 G and emerging 6 G networks. However, existing studies remain fragmented across wireless tasks, data modalities, network planes, and evaluation criteria, making it difficult to determine when an e...

Qiuyue Liao, Yue Chen, Shuangjiang He et al. · 0 citations
#explainable ai Open access Sep 2026

AnExplainable AI Engineering Framework for Claims-Only First-Stage Provider Audit Triage Using SHAP-Guided Hybrid Retrieval-Augmented Generation

This study proposes an explainable artificial intelligence (XAI) engineering workflow for provider-level healthcare claim audit prioritization using SHAP-guided hybrid retrieval-augmented generation (RAG). The framework integrates provider-level claim aggregation, tree-based risk screening, SHAP explanation, explorator...

Danni Huang, Litong Song, Yue Chen et al. · 0 citations

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