相关实验视频

Updated: Jan 10, 2026

Flame Experiments at the Advanced Light Source: New Insights into Soot Formation Processes
10:04

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

Published on: May 26, 2014

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增强了YOLOv7与CDP-ELAN以及收集-分发机制,用于强大的烟雾和火焰检测

Junjie Hu1,2, Siyu He1, Yingjing Qian3

  • 1College of Communication and Electronic Engineering, Jishou University, Jishou, China.

Scientific reports
|November 21, 2025
PubMed
概括

这项研究介绍了CGDS-YOLO,一种增强的火灾检测模型,可以改善特征提取和多尺度融合. 它在小型目标上实现了卓越的性能,并保持了有效的火灾检测的计算效率.

关键词:
深度学习是一种深度学习.收集和分发机制的收集和分发机制烟雾和火焰探测器可以检测到烟雾和火焰.这就是YOLOv7的意义.

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