NIST · ИТ · 7eb1240edabf5a691276
Big Data Analytics for Smart Factories of the Future
Continued advancement of sensors has led to an ever-increasing amount of data of various physical nature to be acquired from production lines. As rich information relevant to the machines and processes are embedded within these "big data," how to
NIST · ИТОфициальный источник · 2020-06-18
{
"title_en": "Big Data Analytics for Smart Factories of the Future",
"designation": "",
"series": "",
"status": "",
"date": "2020-06-18",
"date_original": "June 18, 2020",
"url": "https://www.nist.gov/publications/big-data-analytics-smart-factories-future",
"source": "NIST Publications",
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"authors_en": "Robert Gao, Lihui Wang, Moneer Helu , Roberto Teti",
"abstract_excerpt_en": "Continued advancement of sensors has led to an ever-increasing amount of data of various physical nature to be acquired from production lines. As rich information relevant to the machines and processes are embedded within these \"big data,\" how to",
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{
"title_en": "Big Data Analytics for Smart Factories of the Future",
"designation": "",
"series": "",
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"date": "2020-06-18",
"date_original": "June 18, 2020",
"url": "https://www.nist.gov/publications/big-data-analytics-smart-factories-future",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Robert Gao, Lihui Wang, Moneer Helu , Roberto Teti",
"abstract_excerpt_en": "Continued advancement of sensors has led to an ever-increasing amount of data of various physical nature to be acquired from production lines. As rich information relevant to the machines and processes are embedded within these \"big data,\" how to"
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