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b7e9800fe7065bf7c831 · Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics

Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics

Today's cities generate tremendous amounts of data thanks to a boom in affordable smart devices and sensors. The resulting big data creates opportunities to develop diverse sets of context- aware services and systems, ensuring smart city services are

Официальный источник · 2017-10-12

Полные импортированные сведения карточки
{
  "title_en": "Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2017-10-12",
  "date_original": "October 12, 2017",
  "url": "https://www.nist.gov/publications/dynamic-network-model-smart-city-data-loss-resilience-case-study-city-city-network",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Olivera Kotevska , Aaron Gilad Kusne , Daniel Samarov , Ahmed Lbath, Abdella Battou",
  "abstract_excerpt_en": "Today's cities generate tremendous amounts of data thanks to a boom in affordable smart devices and sensors. The resulting big data creates opportunities to develop diverse sets of context- aware services and systems, ensuring smart city services are",
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      "title_en": "Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics",
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      "authors_en": "Olivera Kotevska , Aaron Gilad Kusne , Daniel Samarov , Ahmed Lbath, Abdella Battou",
      "abstract_excerpt_en": "Today's cities generate tremendous amounts of data thanks to a boom in affordable smart devices and sensors. The resulting big data creates opportunities to develop diverse sets of context- aware services and systems, ensuring smart city services are"
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