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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

Dan-Dan Gu

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4 papers indexed here

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Conference Oct 2026

LHPA-ECR: link-health and priority-aware edge collaborative recovery for industrial IoT measurement-control networks

Continuous field data are a basic operating condition for Industrial Internet of Things (IIoT) measurement-control networks. In deployed systems, however, packet loss, latency spikes, gateway outages, node interruptions, duplicated messages, timestamp skew, and edge overload can interrupt the path from field measuremen...

Bo-Hai Tang, Xin Du, Dan-Dan Gu et al. · 0 citations
Conference Oct 2026

Anomaly detection and explainable intelligent diagnosis for multisource measurement and control signals via physical-consistency-aware edge networks

Industrial measurement and control systems in pump-valve stations collect heterogeneous edge signals whose fault evidence is delayed and physically coupled. Conventional thresholds are transparent but miss early faults, whereas large fusion models may exceed edge resources or attend to implausible sources. This paper p...

Xin Du, Xu Jiang, Bo-Hai Tang et al. · 0 citations
Conference Oct 2026

Lightweight multiscale feature fusion and edge inference for remote sensing image change detection

Remote sensing change detection (CD) supports urban expansion, disaster assessment, and land-use monitoring. Transformer models are accurate, but quadratic attention and memory demand hinder near-sensor deployment. LCSF-Net is a lightweight Siamese CD network with a multi-level lightweight Cross-Scale Fusion (LCSF) des...

Bo-Hai Tang, Jian-Lin Na, Dan-Dan Gu et al. · 0 citations
Conference Oct 2026

AdaptKrum: privacy-preserving federated intrusion detection for industrial IoT under differential privacy noise and poisoning

Industrial Internet of Things (IIoT) intrusion detection relies on traffic features that may still expose production schedules, device fingerprints, and process behavior after payload removal. Centralized training remains an accuracy upper bound, but it is difficult to operate when packet captures cannot leave the loca...

Dan-Dan Gu, Tao Su, Bo-Hai Tang et al. · 0 citations

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