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
On-site SERS analysis and intelligent multi-identification ..:
Jiang, Qiao-Yan
;
Zhang, Yuan
;
Sun, Yang
...
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 325 (2025) - p. 125090 , 2025
Link:
https://doi.org/10.1016/j.saa.2024.125090
RT Journal T1 <Title>On-site SERS analysis and intelligent multi-identification of fentanyl class substances by deep machine learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.saa.2024.125090&Exemplar=1&LAN=DE A1 Jiang, Qiao-Yan A1 Zhang, Yuan A1 Sun, Yang A1 Wang, Li-Xiang A1 Mao, Zhengsheng A1 Pian, Cong A1 Huang, Ping A1 Chen, Feng A1 Cao, Yue PB Elsevier BV YR 2025 SN 1386-1425 JF Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy VO 325 SP 125090 LK http://dx.doi.org/https://doi.org/10.1016/j.saa.2024.125090 DO https://doi.org/10.1016/j.saa.2024.125090 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
