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
Optimized convolutional neural networks for fault diagnosis..:
Hu, Tong
;
Zhang, Yuchen
;
Wang, Xinyuan
...
Environmental Science: Water Research & Technology. 10 (2024) 2 - p. 364-375 , 2024
Link:
https://doi.org/10.1039/d3ew00619k
RT Journal T1 <Title>Optimized convolutional neural networks for fault diagnosis in wastewater treatment processes</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1039_d3ew00619k&Exemplar=1&LAN=DE A1 Hu, Tong A1 Zhang, Yuchen A1 Wang, Xinyuan A1 Sha, Jiulong A1 Dai, Hongqi A1 Xiong, Zhixin A1 Wang, Dongsheng A1 Zhang, Fengshan A1 Liu, Hongbin PB Royal Society of Chemistry (RSC) YR 2024 SN 2053-1400 SN 2053-1419 JF Environmental Science: Water Research & Technology VO 10 IS 2 SP 364 OP 375 LK http://dx.doi.org/https://doi.org/10.1039/d3ew00619k DO https://doi.org/10.1039/d3ew00619k SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
