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Updated: Jun 10, 2025

Flame Experiments at the Advanced Light Source: New Insights into Soot Formation Processes
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Flame Experiments at the Advanced Light Source: New Insights into Soot Formation Processes

Published on: May 26, 2014

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改进了YOLOv8,用于在低压条件下识别气体火焰状态

Qingyi Sai1, Jin Zhao1, Degui Bi2

  • 1College of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Sensors (Basel, Switzerland)
|October 16, 2024
PubMed
概括

本研究介绍了一种轻量级火焰检测算法,使用改进的YOLOv8n模型在低压环境中进行增强的气体火焰识别. 优化的模型提供了更高的准确性和效率与降低参数.

关键词:
这就是YOLOv8算法.注意力机制注意力机制火焰检测检测器的火焰检测器低压环境中的低压环境.

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