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
Enhanced IoT-Based Weather Forecasting and Field Monitoring..:
, In:
2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
,
Akilan, T.
;
Baalamurugan, Km
- p. 961-966 , 2023
Link:
https://doi.org/10.1109/ICAC3N60023.2023.10541855
RT T1
2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
: T1
Enhanced IoT-Based Weather Forecasting and Field Monitoring System Utilizing Multiple CNN Classification Models
UL https://suche.suub.uni-bremen.de/peid=ieee-10541855&Exemplar=1&LAN=DE A1 Akilan, T. A1 Baalamurugan, Km YR 2023 K1 Temperature sensors K1 Support vector machines K1 Weather forecasting K1 Predictive models K1 Boosting K1 Sensors K1 Convolutional neural networks K1 Internet of Things (IoT) K1 Classification Models K1 weather forecasting K1 field monitoring K1 Convolutional Neural Networks (CNN) K1 IoT sensors K1 meteorological parameters SP 961 OP 966 LK http://dx.doi.org/https://doi.org/10.1109/ICAC3N60023.2023.10541855 DO https://doi.org/10.1109/ICAC3N60023.2023.10541855 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)