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NIST · ИТ · 7e16379f382bf01d4cce

7e16379f382bf01d4cce · Prevention of Cooktop Ignition Using Detection and Multi-Step Machine Learning Algorithms

Prevention of Cooktop Ignition Using Detection and Multi-Step Machine Learning Algorithms

This paper presents a study to examine the potential use of machine learning models to build a real-time detection algorithm for prevention of kitchen cooktop fires. Sixteen sets of time- dependent sensor signals were obtained from 60 normal/ignition

Официальный источник · 2020-05-08

Полные импортированные сведения карточки
{
  "title_en": "Prevention of Cooktop Ignition Using Detection and Multi-Step Machine Learning Algorithms",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2020-05-08",
  "date_original": "May 8, 2020",
  "url": "https://www.nist.gov/publications/prevention-cooktop-ignition-using-detection-and-multi-step-machine-learning-0",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Wai Cheong Tam , Eugene Yujun Fu, Amy E. Mensch , Anthony P. Hamins , Christina Yu, Grace Ngai, Hong va Leong",
  "abstract_excerpt_en": "This paper presents a study to examine the potential use of machine learning models to build a real-time detection algorithm for prevention of kitchen cooktop fires. Sixteen sets of time- dependent sensor signals were obtained from 60 normal/ignition",
  "id": "7e16379f382bf01d4cce",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Prevention of Cooktop Ignition Using Detection and Multi-Step Machine Learning Algorithms",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2020-05-08",
      "date_original": "May 8, 2020",
      "url": "https://www.nist.gov/publications/prevention-cooktop-ignition-using-detection-and-multi-step-machine-learning-0",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Wai Cheong Tam , Eugene Yujun Fu, Amy E. Mensch , Anthony P. Hamins , Christina Yu, Grace Ngai, Hong va Leong",
      "abstract_excerpt_en": "This paper presents a study to examine the potential use of machine learning models to build a real-time detection algorithm for prevention of kitchen cooktop fires. Sixteen sets of time- dependent sensor signals were obtained from 60 normal/ignition"
    }
  ],
  "translation_state": "none"
}