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
Vehicular Pollution Monitoring System using IoT: A Review:
, In:
2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
,
Chaudhary, Smily
;
Sahroha, Kriti
- p. 686-690 , 2021
Link:
https://doi.org/10.1109/ICAC3N53548.2021.9725694
RT T1
2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
: T1
Vehicular Pollution Monitoring System using IoT: A Review
UL https://suche.suub.uni-bremen.de/peid=ieee-9725694&Exemplar=1&LAN=DE A1 Chaudhary, Smily A1 Sahroha, Kriti YR 2021 K1 GSM K1 Wireless sensor networks K1 Protocols K1 Transportation K1 Tagging K1 Air pollution K1 Sensors K1 IoT K1 Arduino K1 Gas sensors K1 RFID SP 686 OP 690 LK http://dx.doi.org/https://doi.org/10.1109/ICAC3N53548.2021.9725694 DO https://doi.org/10.1109/ICAC3N53548.2021.9725694 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)