Next-Generation Security: Detecting Suspicious Liquids Through Software Defined Radio Frequency Sensing and Machine Learning-Reference-Cited by-同舟云学术

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Next-Generation Security: Detecting Suspicious Liquids Through Software Defined Radio Frequency Sensing and Machine Learning

Published:2024-03-01 Issue:5 Volume:24 Page:7140-7152
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Daud Ahmad¹,Khan Muhammad Bilal¹,Khattak Abdul Basit²^ORCID,Tanoli Shujaat Ali Khan¹^ORCID,Mustafa Ali³,Rehman Mubashir¹,López Onel L. A.²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, Attock, Pakistan

2. Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland

3. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan

Funder

COMSATS University Islamabad, Attock Campus and Research Council of Finland (former Academy of Finland) 6G Flagship Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10453373/10400410.pdf?arnumber=10400410

Reference63 articles.

1. The Terrorist Pallet of Liquid Explosives and Flammable Fuels

2. Documentation for immediately dangerous to life or health concentrations (IDLHs);Ludwig,1994

3. Remote Detection of Hazardous Liquids Concealed in Glass and Plastic Containers

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