NIST · ИТ · 6898a8cc78792db192d2
WLAN Protocols Identification Using Machine Learning and Ensemble Models
The growing demand for wireless communications has caused significant spectrum congestion, requiring multiple WLAN protocols to share limited spectrum resources. To address this, further research is necessary to optimize spectrum sharing and improve
NIST · ИТОфициальный источник · 2025-01-07
{
"title_en": "WLAN Protocols Identification Using Machine Learning and Ensemble Models",
"designation": "",
"series": "",
"status": "",
"date": "2025-01-07",
"date_original": "January 7, 2025",
"url": "https://www.nist.gov/publications/wlan-protocols-identification-using-machine-learning-and-ensemble-models",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Akimun Jannat Alvina , Yao Ma , Mark Golkowski",
"abstract_excerpt_en": "The growing demand for wireless communications has caused significant spectrum congestion, requiring multiple WLAN protocols to share limited spectrum resources. To address this, further research is necessary to optimize spectrum sharing and improve",
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{
"title_en": "WLAN Protocols Identification Using Machine Learning and Ensemble Models",
"designation": "",
"series": "",
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"date": "2025-01-07",
"date_original": "January 7, 2025",
"url": "https://www.nist.gov/publications/wlan-protocols-identification-using-machine-learning-and-ensemble-models",
"source": "NIST Publications",
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"authors_en": "Akimun Jannat Alvina , Yao Ma , Mark Golkowski",
"abstract_excerpt_en": "The growing demand for wireless communications has caused significant spectrum congestion, requiring multiple WLAN protocols to share limited spectrum resources. To address this, further research is necessary to optimize spectrum sharing and improve"
}
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