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pro vyhledávání: '"Dwith Chenna"'
Autor:
Dwith Chenna
International Journal of Artificial Intelligence & Machine Learning (IJAIML) Volume 2, Issue 01, Jan-Dec 2023, pp. 23-34. Article ID: IJAIML_02_01_003 Available online at https://iaeme.com/Home/issue/IJAIML?Volume=2&Issue=1 Journal ID: 2157-0178, ©
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed109f4c0ca1aa7317893ae1f678e5fd
Autor:
Yedukondala Narendra Dwith Chenna, Pejhman Ghassemi, T. Joshua Pfefer, Jon Casamento, Quanzeng Wang
Publikováno v:
Sensors, Vol 18, Iss 1, p 125 (2018)
Fever screening based on infrared (IR) thermographs (IRTs) is an approach that has been implemented during infectious disease pandemics, such as Ebola and Severe Acute Respiratory Syndrome. A recently published international standard indicates that r
Externí odkaz:
https://doaj.org/article/9f32f564ffd145fa9b7582cfd98e54f5
Autor:
Dwith Chenna, Yedukondala Narendra1,2 cyndwith@gmail.com, Ghassemi, Pejhman1, Pfefer, T. Joshua1, Casamento, Jon1, Wang, Quanzeng1 Quanzeng.Wang@fda.hhs.gov
Publikováno v:
Sensors (14248220). Jan2018, Vol. 18 Issue 1, p125. 14p.
Autor:
Quanzeng Wang, Yedukondala Narendra Dwith Chenna, Pejhman Ghassemi, Jon P. Casamento, T. Joshua Pfefer
Publikováno v:
Sensors; Volume 18; Issue 1; Pages: 125
Sensors
Sensors, Vol 18, Iss 1, p 125 (2018)
Sensors (Basel, Switzerland)
Sensors
Sensors, Vol 18, Iss 1, p 125 (2018)
Sensors (Basel, Switzerland)
Fever screening based on infrared (IR) thermographs (IRTs) is an approach that has been implemented during infectious disease pandemics, such as Ebola and Severe Acute Respiratory Syndrome. A recently published international standard indicates that r
Autor:
Chenna, Dwith Chenna
Screening based on non-contact infrared thermometers (NCITs) and IRTGs shows promising results for mass fever screening. IRTGs were found to be powerful, quick and non-invasive methods to detect elevated temperatures. In the case of temperature measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1538f4f04e93286ce47693b376f29d8