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
Evaluating the Solutions to Predict the Impact of Lung Canc..:
, In:
2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT)
,
Sundar, R.
;
Ramadass, Sudhir
;
Meeha, D.
... - p. 1733-1737 , 2023
Link:
https://doi.org/10.1109/ICSSIT55814.2023.10060899
RT T1 <cTitle>2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT)</cTitle>: T1 <Title>Evaluating the Solutions to Predict the Impact of Lung Cancer with an Advanced Intelligent Computing Method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10060899&Exemplar=1&LAN=DE A1 Sundar, R. A1 Ramadass, Sudhir A1 Meeha, D. A1 Subramanian, Balambigai A1 Siva Shankar, S A1 Parasa, Gayatri YR 2023 SN 2832-3017 K1 Machine learning algorithms K1 Correlation K1 Linear regression K1 Anxiety disorders K1 Lung cancer K1 Machine learning K1 Prediction algorithms K1 machine-learning K1 peer pressure K1 polynomial regression SP 1733 OP 1737 LK http://dx.doi.org/https://doi.org/10.1109/ICSSIT55814.2023.10060899 DO https://doi.org/10.1109/ICSSIT55814.2023.10060899 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
