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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

Lu Li

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2 papers indexed here

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Jul 2026

Improved YOLOv11 for transmission line foreign object detection based on multibranch feature fusion and hybrid attention

Experimental results show that the detection accuracy of the improved YOLOv11 algorithm is significantly better than that of YOLOv5, YOLOv8 and the baseline YOLOv11 and can meet the actual requirements of UAV inspection and provide reliable technical support for transmission line foreign object detection.

Sang Junjie, Yu-Jie Sheng, Lu Li · 0 citations
Jul 2026

A lightweight detection method for defects of transmission line insulators and accessories based on improved YOLOv11n

The DCNv3 (Deformable Convolution v3) is embedded into the backbone network to replace the traditional convolutional layers, enhancing the ability to extract features of irregular defects and retains the lightweight advantage and can meet the requirements of on-site real-time inspection.

Yu-Jie Sheng, Sang Junjie, Lu Li · 0 citations

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