3afc0142a8a3324d9850 · Machine Learning Based Forecasting for Building Fires

{
  "title_en": "Machine Learning Based Forecasting for Building Fires",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2026-01-09",
  "date_original": "January 9, 2026",
  "url": "https://www.nist.gov/publications/machine-learning-based-forecasting-building-fires",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Wai Cheong Tam , Hongqiang Fang , Yifei Ding",
  "abstract_excerpt_en": "The fast-evolving conditions of rapid fire progressions demand swift and informed decision-making from firefighters. This paper presents a series of research efforts to develop artificial intelligent-driven technologies that provide real-time, actionable",
  "id": "3afc0142a8a3324d9850",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Machine Learning Based Forecasting for Building Fires",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2026-01-09",
      "date_original": "January 9, 2026",
      "url": "https://www.nist.gov/publications/machine-learning-based-forecasting-building-fires",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Wai Cheong Tam , Hongqiang Fang , Yifei Ding",
      "abstract_excerpt_en": "The fast-evolving conditions of rapid fire progressions demand swift and informed decision-making from firefighters. This paper presents a series of research efforts to develop artificial intelligent-driven technologies that provide real-time, actionable"
    }
  ],
  "translation_state": "none"
}