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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

Xiao-Guang Tu

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Open access Sep 2026

TSNet: A Two-stage Segmentation Network Guided by Uncertainty for Remote Sensing Image Road Extraction

Road extraction from high‑resolution remote‑sensing images plays a vital practical role in multiple application scenarios including urban layout planning and autonomous driving systems. Nevertheless, current road‑extraction approaches still suffer from several bottlenecks under complex ground environments, including in...

Jia-Jia Liu, Xuan Zhao, Wen-Xiang Dong et al. · 0 citations
Open access Sep 2026

Road Extraction from High-Resolution Remote Sensing Images Based on MRCBL-Net and Multi-attention Mechanism

Road extraction from high-resolution remote sensing images is crucial for urban planning and geographic information systems (GIS). However, complex background interference, severe occlusions, and the inherent morphological complexity of roads often lead to discontinuities and insufficient accuracy in extraction results...

Jia-Jia Liu, Xuan Zhao, Wen-Xiang Dong et al. · 0 citations
#reinforcement learning Sep 2026

Physics-prior-driven distributed deep reinforcement learning for multi-UAV path planning

A physics-prior-driven decentralized deep reinforcement learning (DRL) framework Functioning as a scalable distributed computing paradigm via decentralized training with decentralized execution (DTDE), the framework mitigates the curse of dimensionality.

Jian-Hua Liu, Hai-Tao Zhou, Jia-Jia Liu et al. · 0 citations

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