4ff205f36f52b13d66a8 · A Machine-Learning Approach for the Exemplar Extraction of mmWave Industrial Wireless Channels

{
  "title_en": "A Machine-Learning Approach for the Exemplar Extraction of mmWave Industrial Wireless Channels",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2022-06-13",
  "date_original": "June 13, 2022",
  "url": "https://www.nist.gov/publications/machine-learning-approach-exemplar-extraction-mmwave-industrial-wireless-channels",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Mohamed Hany , Peter Vouras , Rob Jones , Rick Candell , Kate Remley",
  "abstract_excerpt_en": "Industrial wireless channel modeling is essential for the development of Industrial Internet of Things (IIoT) wireless systems. Moreover, millimeter-wave (mmWave) wireless bands have a high potential to be used for IIoT applications because of their high",
  "id": "4ff205f36f52b13d66a8",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "A Machine-Learning Approach for the Exemplar Extraction of mmWave Industrial Wireless Channels",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2022-06-13",
      "date_original": "June 13, 2022",
      "url": "https://www.nist.gov/publications/machine-learning-approach-exemplar-extraction-mmwave-industrial-wireless-channels",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Mohamed Hany , Peter Vouras , Rob Jones , Rick Candell , Kate Remley",
      "abstract_excerpt_en": "Industrial wireless channel modeling is essential for the development of Industrial Internet of Things (IIoT) wireless systems. Moreover, millimeter-wave (mmWave) wireless bands have a high potential to be used for IIoT applications because of their high"
    }
  ],
  "translation_state": "none"
}