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
AirFC: Designing Fully Connected Layers for Neural Networks..:
, In:
Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
,
Reus-Muns, Guillem
;
Alemdar, Kubra
;
Sanchez, Sara Garcia
.. - p. 71-80 , 2023
Link:
https://dl.acm.org/doi/10.1145/3565287.3610281
RT T1
Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
: T1
AirFC: Designing Fully Connected Layers for Neural Networks with Wireless Signals
UL https://suche.suub.uni-bremen.de/peid=acm-3610281&Exemplar=1&LAN=DE A1 Reus-Muns, Guillem A1 Alemdar, Kubra A1 Sanchez, Sara Garcia A1 Roy, Debashri A1 Chowdhury, Kaushik R. PB ACM YR 2023 K1 over-the-air K1 analog computation K1 fully connected layer K1 neural networks K1 multiple-input single-output channels K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Networks K1 Network performance evaluation K1 Network experimentation SP 71 OP 80 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3565287.3610281 DO https://dl.acm.org/doi/10.1145/3565287.3610281 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)