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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

Zhengquan Chen

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2 papers indexed here

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Open access Sep 2026

Reliability-Aware Dual-Stream Self-Training for Semi-Supervised Semantic Segmentation of High-Resolution Remote Sensing Imagery

RAPST is proposed, a reliability-aware dual-stream self-training framework that combines reliable offline supervision with full-data online learning and achieves the best performance in most dataset–annotation settings.

Wan-Zhaohe-Wei-Shunwu-Shi-Fang-Wang-Rui-Fang Liu, Yan Lin, Wei Liu et al. · 0 citations
Sep 2026

Remaining useful life prediction of electric vehicle drive system using physics-informed machine learning methods with uncertainty quantification

An innovative physics-informed machine learning framework for RUL prediction and uncertainty quantification in EVDS is proposed, which effectively integrates physical information with deep learning algorithms, yielding a more concentrated probability density distribution of RUL predictions with higher accuracy, and enh...

Zhen Wang, Zheng-Quan Chen, Wen-Qing Sun et al. · 0 citations

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