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
Termite Pest Identification Method Based on Deep Convolutio..:
Huang, Jia-Hsin
;
Liu, Yu-Ting
;
Ni, Hung Chih
...
Journal of Economic Entomology. 114 (2021) 6 - p. 2452-2459 , 2021
Link:
https://doi.org/10.1093/jee/toab162
RT Journal T1
Termite Pest Identification Method Based on Deep Convolution Neural Networks
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_jee_toab162&Exemplar=1&LAN=DE A1 Huang, Jia-Hsin A1 Liu, Yu-Ting A1 Ni, Hung Chih A1 Chen, Bo-Ye A1 Huang, Shih-Ying A1 Tsai, Huai-Kuang A1 Li, Hou-Feng A1 Husseneder, Claudia PB Oxford University Press (OUP) YR 2021 SN 0022-0493 SN 1938-291X JF Journal of Economic Entomology VO 114 IS 6 SP 2452 OP 2459 LK http://dx.doi.org/https://doi.org/10.1093/jee/toab162 DO https://doi.org/10.1093/jee/toab162 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)