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Real-Time Detection of Intruders Using an Acoustic Sensor and Internet-of-Things Computing.
Al-Khalli, Najeeb; Alateeq, Saud; Almansour, Mohammed; Alhassoun, Yousef; Ibrahim, Ahmed B; Alshebeili, Saleh A.
Affiliation
  • Al-Khalli N; KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh 11421, Saudi Arabia.
  • Alateeq S; King Abdullah Institute for Nanotechnology (KAIN), King Saud University, Riyadh 11451, Saudi Arabia.
  • Almansour M; Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia.
  • Alhassoun Y; Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia.
  • Ibrahim AB; Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia.
  • Alshebeili SA; KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh 11421, Saudi Arabia.
Sensors (Basel) ; 23(13)2023 Jun 21.
Article in En | MEDLINE | ID: mdl-37447640
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sound / Acoustics Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Saudi Arabia Country of publication: Switzerland
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sound / Acoustics Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Saudi Arabia Country of publication: Switzerland