Výsledky vyhledávání - "Ren Jiangtao"

Akademický článek

High-Quality Recycling and Utilization of China’s Steel Scrap Resources in the Context of Carbon Peaking and Carbon Neutrality

Autor: Wang Guodong, Zhang Longqiang, Fu Jing, Wang Fangjie, Chu Mansheng, Ren Jiangtao, Zhao Chenglin, Wang Houxin, Yu Caihong, Sun Ye, Deng Xiangtao, Jia Tao, Qi Zhibo, Sun Jie

Publikováno v: 中国工程科学, Vol 26, Iss 3, Pp 63-73 (2024)

Steel scraps are renewable resources and indispensable iron resources for the iron and steel industry. In the context of carbon peaking and carbon neutrality, it is crucial to reconstruct the technology system for steel scrap recycling and utilizatio

Externí odkaz: https://doaj.org/article/ae03c6ef37b8458c88afdf19879d3952

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Multi Self-supervised Pre-fine-tuned Transformer Fusion for Better Intelligent Transportation Detection

Autor: Zheng, Juwu, Ren, Jiangtao

Intelligent transportation system combines advanced information technology to provide intelligent services such as monitoring, detection, and early warning for modern transportation. Intelligent transportation detection is the cornerstone of many int

Externí odkaz: http://arxiv.org/abs/2310.11307

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Road Disease Detection based on Latent Domain Background Feature Separation and Suppression

Autor: Zheng, Juwu, Ren, Jiangtao

Road disease detection is challenging due to the the small proportion of road damage in target region and the diverse background,which introduce lots of domain information.Besides, disease categories have high similarity,makes the detection more diff

Externí odkaz: http://arxiv.org/abs/2309.07616

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Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection

Autor: Chen, Tengyang, Ren, Jiangtao

In the domain of traffic safety and road maintenance, precise detection of road damage is crucial for ensuring safe driving and prolonging road durability. However, current methods often fall short due to limited data. Prior attempts have used Genera

Externí odkaz: http://arxiv.org/abs/2309.06747

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MFL-YOLO: An Object Detection Model for Damaged Traffic Signs

Autor: Chen, Tengyang, Ren, Jiangtao

Traffic signs are important facilities to ensure traffic safety and smooth flow, but may be damaged due to many reasons, which poses a great safety hazard. Therefore, it is important to study a method to detect damaged traffic signs. Existing object

Externí odkaz: http://arxiv.org/abs/2309.06750

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