I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A Programmable CNN Accelerator with RISC-V Core in Real-Tim..:
, In:
2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)
,
Pan, Sing-Yu
;
Lee, Shuenn-Yuh
;
Hung, Yi-Wen
.. - p. 1-4 , 2022
Link:
https://doi.org/10.1109/RASSE54974.2022.9989732
RT T1
2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)
: T1
A Programmable CNN Accelerator with RISC-V Core in Real-Time Wearable Application
UL https://suche.suub.uni-bremen.de/peid=ieee-9989732&Exemplar=1&LAN=DE A1 Pan, Sing-Yu A1 Lee, Shuenn-Yuh A1 Hung, Yi-Wen A1 Lin, Chou-Ching A1 Shieh, Gia-Shing YR 2022 K1 Power demand K1 Convolution K1 Instruction sets K1 Neural networks K1 Epilepsy K1 Random access memory K1 Real-time systems K1 Epilepsy Detection K1 Biosignal K1 Deep Learning K1 Convolution neural Network K1 RISC-V CPU SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/RASSE54974.2022.9989732 DO https://doi.org/10.1109/RASSE54974.2022.9989732 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)