conference paper

An 8.7 mu J/class. FFT accelerator and DNN-based configurable SoC for Multi-Class Chronic Neurological Disorder Detection

Taufique, Zain
•
Zhu, Bingzhao  
•
Coppola, Gianluca
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January 1, 2021
Ieee Asian Solid-State Circuits Conference (A-Sscc 2021)
17th IEEE Asian Solid-State Circuits Conference (A-SSCC) - Integrated Circuits and Systems for the Connection of Intelligent Things
Type
conference paper
DOI
10.1109/A-SSCC53895.2021.9634763
Web of Science ID

WOS:000768220800044

Author(s)
Taufique, Zain
•
Zhu, Bingzhao  
•
Coppola, Gianluca
•
Shoaran, Mahsa  
•
Saadeh, Wala
•
Bin Altaf, Muhammad Awais
Date Issued

2021-01-01

Publisher

IEEE

Publisher place

New York

Published in
Ieee Asian Solid-State Circuits Conference (A-Sscc 2021)
ISBN of the book

978-1-6654-4350-0

Series title/Series vol.

IEEE Asian Solid-State Circuits Conference Proceedings of Technical Papers

Subjects

Engineering, Electrical & Electronic

•

Engineering

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
INL  
Event nameEvent placeEvent date
17th IEEE Asian Solid-State Circuits Conference (A-SSCC) - Integrated Circuits and Systems for the Connection of Intelligent Things

Busan, SOUTH KOREA

Nov 07-10, 2021

Available on Infoscience
April 11, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/187006