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 Fire
      Fire detection

	  			
  

	
	News and Updates
        A Machine Learning-Based Solution Could Help Firefighters Circumvent Deadly Backdrafts
                        October 17, 2022The NIST team got data from hundreds of backdrafts in the lab to use as a basis for a model that can predict them.
  AI May Come to the Rescue of Future Firefighters
                        August 10, 2022New research suggests that AI could provide first responders with a much-needed heads-up about a dangerous condition called flashover.
  The Journey to Commercialize Cutting-Edge Sensor Technology
                        May 17, 2022In the early 2000’s, Abhishek Motayed found his way to the NIST campus as a contractor, working in what became the Material Measurement Laboratory (MML). Within

    

  
  

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  Projects and Programs
        Public Health Risks to First Responders
                  OngoingThere is growing evidence that firefighters (FF) are being exposed to per- and polyfluoroalkyl substances (PFAS) associated with their gear. The source of the
  Fire Risk Reduction in Buildings Program
                  OngoingThe research in this program (Fire Risk Reduction in Buildings, FRRiB) will enable reductions in the two single largest components of this U.S. structure fire
  Fire Research Grants and Cooperative Agreements
                  OngoingFire Research Grants and Cooperative Agreements support extramural work to reduce the total burden of fire on the U.S. economy, which is estimated as greater
  Sensing and Imaging of concealed objects
                  OngoingEmergency response , l aw enforcement and military personnel must face threats and dangerous situations as part of their jobs. These threats can vary from

    

  
  

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  Publications
        Explainable Machine Learning Based Flashover Prediction Model Using Dimension-Wise Class Activation Map
                        June 26, 2023
                  Author(s)
                                Linhao  Fan,   Wai Cheong  Tam,   Qi  Tong,   Eugene Yujun  Fu,   Tianshui  LiangThis paper presents the development of an explainable machine learning based flashover prediction model, named xFlashNet. Synthetic temperature data from more
  Real-Time Flashover Prediction Model for Multi-Compartment Building Structures Using Attention Based Recurrent Neural Networks
                        March 17, 2023
                  Author(s)
                                Wai Cheong  Tam,   Eugene Yujun  Fu,   Jiajia  Li,   Richard D.  Peacock,   Paul A.  Reneke,   Thomas  Cleary,   Grace  Ngai,   Hong Va  Leong,   Michael Xuelin  HuangThis paper presents the development of an attention based bi-directional gated recurrent unit model, P-Flashv2, for the prediction of potential occurrence of
  Measurements and Predictions of the Aerosol Dynamics of Smoke
                        September 30, 2022
                  Author(s)
                                Amy  Mensch,   Haley  Hamza,   Thomas  ClearyBetter understanding and ability to predict the aerosol dynamics of soot can improve life safety predictions generated by fire modeling tools. NIST's fire
  Finding the Signal from the Smoke: A Real-Time, Unattended Fire Prevention System Using 3D Convolutional Neural Networks
                        August 31, 2022
                  Author(s)
                                Michael  Ngai,   Eugene Yujun  Fu,   Wai Cheong  Tam,   Grace  Ngai,   Amber  YangCooking fires are dangerous. Every year, they are responsible for taking away more than 500 lives in the U.S. alone. Existing approaches using sensors usually

  Software
        FDS and SmokeviewFire Dynamics Simulator (FDS) is a computational fluid dynamics (CFD) model of fire-driven fluid flow. The software solves numerically a form of the Navier

    

  
  

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  Tools and Instruments
        Fire Emulator/Detector EvaluatorThe fire emulator/detector evaluator (FE/DE) is a computer-controlled flow tunnel used to re-create the environments surrounding detectors in the early stages

    

  
  

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