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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

Litian Xie

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Open access Dec 2025

Interpretable machine learning for traffic congestion prediction: Unveiling the impact of different COVID-19 periods

This study predicts congestion in Alameda County, California, during pre-lockdown, lockdown, and post-lockdown periods, and finds Bidirectional LSTM consistently performs best across all periods because it captures temporal dependence in both directions.

Danmiao Zhu, Chi-Sin Ng, Litian Xie et al. · 3 citations

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