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
Improved k-NN Regression Model Using Random Forests for Air..:
, In:
2023 International Conference on Smart Applications, Communications and Networking (SmartNets)
,
Sharma, Siddharth
;
Lakshmi, L. Rajya
- p. 1-7 , 2023
Link:
https://doi.org/10.1109/SmartNets58706.2023.10216028
RT T1
2023 International Conference on Smart Applications, Communications and Networking (SmartNets)
: T1
Improved k-NN Regression Model Using Random Forests for Air Pollution Prediction
UL https://suche.suub.uni-bremen.de/peid=ieee-10216028&Exemplar=1&LAN=DE A1 Sharma, Siddharth A1 Lakshmi, L. Rajya YR 2023 K1 Runtime K1 Data analysis K1 Atmospheric modeling K1 Forestry K1 Predictive models K1 Benchmark testing K1 Air pollution K1 k-NN K1 Random forests K1 Air pollution data analysis SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/SmartNets58706.2023.10216028 DO https://doi.org/10.1109/SmartNets58706.2023.10216028 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)