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
Deep learning strategies for addressing issues with small d..:
Cody Allen
;
Shiva Aryal
;
Tuyen Do
...
https://www.frontiersin.org/articles/10.3389/fmicb.2022.1059123/full. , 2022
Link:
https://doi.org/10.3389/fmicb.2022.1059123
RT Journal T1 <Title>Deep learning strategies for addressing issues with small datasets in 2D materials research: Microbial Corrosion</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:161ef166068a4610a2f8546bc5eeb331&Exemplar=1&LAN=DE A1 Cody Allen A1 Shiva Aryal A1 Tuyen Do A1 Rishav Gautum A1 Md Mahmudul Hasan A1 Bharat K. Jasthi A1 Etienne Gnimpieba A1 Venkataramana Gadhamshetty PB Frontiers Media S.A. YR 2022 K1 2D materials K1 coatings K1 graphene K1 hexagonal boron nitride K1 electrochemical impedance spectroscopy K1 machine learning K1 Microbiology K1 QR1-502 JF https://www.frontiersin.org/articles/10.3389/fmicb.2022.1059123/full LK http://dx.doi.org/https://doi.org/10.3389/fmicb.2022.1059123 DO https://doi.org/10.3389/fmicb.2022.1059123 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
