Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring

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 🔘 Table of associated records

<meta name="Description" CONTENT="Artificial Intelligence Journal" />
<meta name="r0identifier" content="2f8b5de52b16097a30ec9fba3c3b804c" />

Rx	Registration ID	Nº
R0	Hash MD5 (of R3):	2f8b5de52b16097a30ec9fba3c3b804c
R1	Registration number (in the domain editorialia.com at WordPress):	dmeditorialiawp.29782
R2	Date-p-order (ddmmyyyypx):	05112020p1
R3	Cid (combined id R1+R2):	dmeditorialiawp.2978205112020p1
R4	Resource official title:	Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring
R5	Publisher:	IEEE
R6	Resource website (1) ( #OpenAccess | #Openscience ):	ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9214468
R9	DOI:	10.1109/JTEHM.2020.3028996
R12	Authors (separated by commas):	Aaron Spence, Shaun Bangay
R14	Keyword (selected 1 among the labels applied to this entry):	=medicine
R15	QR code (of the linked url at WP):
R16	Time stamp URL:
R17	Digital signature URL:	Pending signature

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