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
AQMP: Air Quality Monitoring and Prediction using Machine L..:
, In:
2024 2nd International Conference on Disruptive Technologies (ICDT)
,
Goyal, Sonali
;
Kaur, Amandeep
;
Sharma, Vikrant
.. - p. 775-777 , 2024
Link:
https://doi.org/10.1109/ICDT61202.2024.10488943
RT T1 <cTitle>2024 2nd International Conference on Disruptive Technologies (ICDT)</cTitle>: T1 <Title>AQMP: Air Quality Monitoring and Prediction using Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10488943&Exemplar=1&LAN=DE A1 Goyal, Sonali A1 Kaur, Amandeep A1 Sharma, Vikrant A1 Batra, Neera A1 Das, Purushottam YR 2024 K1 Training K1 Support vector machines K1 Predictive models K1 Air pollution K1 Production facilities K1 Nitrogen K1 Monitoring K1 Machine Learning K1 IoT Air quality Monitoring K1 Regression K1 RF K1 DT K1 ANN K1 SVM SP 775 OP 777 LK http://dx.doi.org/https://doi.org/10.1109/ICDT61202.2024.10488943 DO https://doi.org/10.1109/ICDT61202.2024.10488943 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
