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Smart building fire safety design driven by artificial intelligence

  • Published:2024 Issue: Volume: Page:111-133
  • ISSN:
  • Container-title:Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure
  • language:en
  • Short-container-title:

Author:

Zeng Yanfu,Huang Xinyan

Publisher

Elsevier

Reference49 articles.

1. Fire from First Principles;Stollard,2014

2. Building Services Engineering;Chadderton,2013

3. Smart performance-based design for building fire safety: prediction of smoke motion via AI;Su;Journal of Building Engineering,2021

4. Artificial Intelligence tool for fire safety design (IFETool): demonstration in large open spaces;Zeng;Case Studies in Thermal Engineering,2022

5. Fire Behavior in Rooms;Kawagoe,1958

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Industrial Internet of Things Algorithms for Fire Safety System Control;2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2024-05-20

2. AI-powered fire engineering design and smoke flow analysis for complex-shaped buildings;Journal of Computational Design and Engineering;2024-05-01

3. Artificial Intelligence Powered Building Fire Safety Design Analysis;Digital Innovations in Architecture, Engineering and Construction;2024

4. Internet of Things and Digital Twin in Fire Safety Management;Digital Innovations in Architecture, Engineering and Construction;2024

5. Automatic real-time fire distance, size and power measurement driven by stereo camera and deep learning;Fire Safety Journal;2023-10
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