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Concrete aging factor prediction using machine learning

Year of publication

2024

Authors

Taffese, Woubishet Zewdu; Wally, Gustavo Bosel; Magalhães, Fábio Costa; Espinosa-Leal, Leonardo

Organizations and authors

Arcada University of Applied Sciences

Espinosa-Leal Leonardo Orcid -palvelun logo

Taffese Woubishet Zewdu Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Materials Today Communications

Publisher

Elsevier BV

Volume

40

Article number

109527

Pages

109527

ISSN

2352-4928

​Publication forum

82697

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

No

Other information

Fields of science

Computer and information sciences; Civil and construction engineering

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Internationality of the publisher

International

International co-publication

Yes

Co-publication with a company

No

DOI

10.1016/j.mtcomm.2024.109527

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes