Cementitious phase quantification using deep learning

Year of publication

2023

Authors

Sheiati, Shohreh; Nguyen, Hoang; Kinnunen, Päivö; Ranjbar, Navid

Organizations and authors

University of Oulu

Nguyen Hoang

Kinnunen Päivö

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/Series

Cement and concrete research

Publisher

Elsevier

Volume

172

Article number

107231

ISSN

0008-8846

Publication forum

53226

Publication forum level

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

License of the publisher’s version

CC BY

Self-archived

Yes

License of the self-archived publication

CC BY

Other information

Fields of science

Computer and information sciences; Civil and construction engineering; Materials engineering

Keywords

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

Publication country

United States

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

DOI

10.1016/j.cemconres.2023.107231

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

Yes