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
Advancing Agricultural Health: Hybrid CNN-SVM Framework for..:
, In:
2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
,
Mahajan, Manish
;
Upadhyay, Deepak
;
Aeri, Manisha
.. - p. 1-4 , 2024
Link:
https://doi.org/10.1109/I2CT61223.2024.10544232
RT T1
2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
: T1
Advancing Agricultural Health: Hybrid CNN-SVM Framework for Classifying Tomato Diseases
UL https://suche.suub.uni-bremen.de/peid=ieee-10544232&Exemplar=1&LAN=DE A1 Mahajan, Manish A1 Upadhyay, Deepak A1 Aeri, Manisha A1 Kukreja, Vinay A1 Sharma, Rishabh YR 2024 K1 Support vector machines K1 Deep learning K1 Crops K1 Feature extraction K1 Data models K1 Vectors K1 Convolutional neural networks K1 Tomato Disease Detection K1 Convolutional Neural Networks K1 Support vector machine K1 Agriculture Monitoring SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/I2CT61223.2024.10544232 DO https://doi.org/10.1109/I2CT61223.2024.10544232 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)