8ee533dfc7a6ac822a79 · Sensors and Machine Learning Models to Prevent Cooktop Ignition and Ignore Normal Cooking
Sensors and Machine Learning Models to Prevent Cooktop Ignition and Ignore Normal Cooking
Cooking equipment is involved in nearly half of home fires in the United States, with cooktop fires the leading cause of deaths and injuries in cooking-related fires. In this study, we evaluate 16 electrochemical, optical, temperature and humidity sensors
{
"title_en": "Sensors and Machine Learning Models to Prevent Cooktop Ignition and Ignore Normal Cooking",
"designation": "",
"series": "",
"status": "",
"date": "2021-03-18",
"date_original": "March 18, 2021",
"url": "https://www.nist.gov/publications/sensors-and-machine-learning-models-prevent-cooktop-ignition-and-ignore-normal-cooking",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Amy Mensch , Anthony Hamins , Andy Tam , John Lu , Kathryn Markell, Christina You, Matthew Kupferschmid",
"abstract_excerpt_en": "Cooking equipment is involved in nearly half of home fires in the United States, with cooktop fires the leading cause of deaths and injuries in cooking-related fires. In this study, we evaluate 16 electrochemical, optical, temperature and humidity sensors",
"id": "8ee533dfc7a6ac822a79",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Sensors and Machine Learning Models to Prevent Cooktop Ignition and Ignore Normal Cooking",
"designation": "",
"series": "",
"status": "",
"date": "2021-03-18",
"date_original": "March 18, 2021",
"url": "https://www.nist.gov/publications/sensors-and-machine-learning-models-prevent-cooktop-ignition-and-ignore-normal-cooking",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Amy Mensch , Anthony Hamins , Andy Tam , John Lu , Kathryn Markell, Christina You, Matthew Kupferschmid",
"abstract_excerpt_en": "Cooking equipment is involved in nearly half of home fires in the United States, with cooktop fires the leading cause of deaths and injuries in cooking-related fires. In this study, we evaluate 16 electrochemical, optical, temperature and humidity sensors"
}
],
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}