Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Peiwen Dai"'
Autor:
Peiwen Dai, Qixing Zhang, Gaohua Lin, Muhammad Masoom Shafique, Yinuo Huo, Ran Tu, Yongming Zhang
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
The widespread use of renewable energy resources requires more immediate and effective fire alarms as a preventive measure. The fire is usually weak in the initial stages, which is not conducive to detection and identification. This paper validates a
Externí odkaz:
https://doaj.org/article/d6b0f260640f4ca4a70e38b0d27268e6
Autor:
Muhammad Masoom S., Qixing Zhang, Peiwen Dai, Yang Jia, Yongming Zhang, Jiping Zhu, Jinjun Wang
Publikováno v:
Fire, Vol 5, Iss 2, p 40 (2022)
Early detection of smoke having indistinguishable pixel intensities in digital images is a difficult task. To better maintain fire surveillance, early smoke detection is crucial. To solve the problem, we have integrated the principal component analys
Externí odkaz:
https://doaj.org/article/214e935680374b048de9854f1293bbef