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
A Fine-Tuned MobileNetv2 based Approach for Weed Classifica..:
, In:
2023 9th International Conference on Signal Processing and Communication (ICSC)
,
Shalini, G
;
Singh, Rimjhim Padam
;
Khanna, Manju
. - p. 504-509 , 2023
Link:
https://doi.org/10.1109/ICSC60394.2023.10441648
RT T1
2023 9th International Conference on Signal Processing and Communication (ICSC)
: T1
A Fine-Tuned MobileNetv2 based Approach for Weed Classification
UL https://suche.suub.uni-bremen.de/peid=ieee-10441648&Exemplar=1&LAN=DE A1 Shalini, G A1 Singh, Rimjhim Padam A1 Khanna, Manju A1 Kumar, Priyanka YR 2023 SN 2643-444X K1 Deep learning K1 Spraying K1 Signal processing algorithms K1 Signal processing K1 Feature extraction K1 Hazards K1 Farming K1 Deep Neural network (DNN) K1 Precision agriculture K1 Transfer learning K1 Weed detection K1 MobileNetv2 SP 504 OP 509 LK http://dx.doi.org/https://doi.org/10.1109/ICSC60394.2023.10441648 DO https://doi.org/10.1109/ICSC60394.2023.10441648 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)