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


  Table of associated records

<meta name="Description" CONTENT="Artificial Intelligence Journal" />
<meta name="r0identifier" content="2f8b5de52b16097a30ec9fba3c3b804c" />
RxRegistration ID
R0Hash MD5 (of R3):2f8b5de52b16097a30ec9fba3c3b804c
R1Registration number (in the domain editorialia.com at WordPress):dmeditorialiawp.29782
R2Date-p-order (ddmmyyyypx): 05112020p1
R3Cid (combined id R1+R2):dmeditorialiawp.2978205112020p1
R4Resource official title:Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring
R5Publisher:IEEE
R6Resource website (1) ( #OpenAccess | #Openscience ): ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9214468
R9DOI:10.1109/JTEHM.2020.3028996
R12Authors (separated by commas):Aaron Spence, Shaun Bangay
R14Keyword (selected 1 among the labels applied to this entry):=medicine
R15QR code (of the linked url at WP):
R16Time stamp URL:
R17Digital signature URL:Pending signature

Click to rate this post
[Total: 2 Average: 5]
Exit mobile version