Hybrid feature fusion-based high-sensitivity fire detection and early warning for intelligent building systems

HIGHLIGHTS

• who: Shengyuan Xiao and collaborators from the School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China have published the article: Hybrid Feature Fusion-Based High-Sensitivity Fire Detection and Early Warning for Intelligent Building Systems, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: The aim of the distributed network fire warning experiment is to verify whether the early fire warning system consisting of three data collection nodes can achieve the simultaneous detection of fires in multiple regions.
• how: To address this . . .
  

   

  

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