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
Cloud and IoT based Framework for Air and Noise Pollution M..:
, In:
2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)
,
Tinnaluri, V S Narayana
;
Sahukar, Latha
;
Chaudhari, Ankur
... - p. 66-71 , 2023
Link:
https://doi.org/10.1109/ICICCS56967.2023.10142616
RT T1 <cTitle>2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)</cTitle>: T1 <Title>Cloud and IoT based Framework for Air and Noise Pollution Monitoring System via Extreme Learning Machine</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10142616&Exemplar=1&LAN=DE A1 Tinnaluri, V S Narayana A1 Sahukar, Latha A1 Chaudhari, Ankur A1 Malathy, G. A1 Kolavennu, Subbarao A1 Leonard, L YR 2023 SN 2768-5330 K1 Support vector machines K1 Wireless LAN K1 Pollution K1 Extreme learning machines K1 Working environment noise K1 Sensors K1 Internet of Things K1 Convolutional Neural Network (CNN) K1 Extreme Learning Machine (ELM) K1 Support Vector Machine SP 66 OP 71 LK http://dx.doi.org/https://doi.org/10.1109/ICICCS56967.2023.10142616 DO https://doi.org/10.1109/ICICCS56967.2023.10142616 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
