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
Effects of Data Structure in Convolutional Neural Network f..:
, In:
2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)
,
Ang, Christopher Yew Shuen
;
Loo, Nien Loong
;
Chiew, Yeong Shiong
... - p. 142-147 , 2022
Link:
https://doi.org/10.1109/IECBES54088.2022.10079652
RT T1
2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)
: T1
Effects of Data Structure in Convolutional Neural Network for Detection of Asynchronous Breathing in Mechanical Ventilation Treatment
UL https://suche.suub.uni-bremen.de/peid=ieee-10079652&Exemplar=1&LAN=DE A1 Ang, Christopher Yew Shuen A1 Loo, Nien Loong A1 Chiew, Yeong Shiong A1 Tan, Chee Pin A1 Nor, Mohd Basri Mat A1 Chase, J. Geoffrey YR 2022 K1 Training K1 Analytical models K1 Monte Carlo methods K1 Atmospheric modeling K1 Sensitivity and specificity K1 Data structures K1 Ventilation K1 This research develops Convolutional Neural Networks based on different data structures to detect asynchronous breathing in mechanical ventilation patients SP 142 OP 147 LK http://dx.doi.org/https://doi.org/10.1109/IECBES54088.2022.10079652 DO https://doi.org/10.1109/IECBES54088.2022.10079652 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)