Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete

Cavaleri, Liborio; Barkhordari, Mohammad Sadegh; Repapis, Constantinos C.; Armaghani, Danial Jahed; Ulrikh, Dmitrii Vladimirovich; Asteris, Panagiotis G.

doi:10.1016/j.conbuildmat.2022.129504

Record: found
Abstract: not found
Article: not found

Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete

Author(s): Liborio Cavaleri , Mohammad Sadegh Barkhordari , Constantinos C. Repapis , Danial Jahed Armaghani , Dmitrii Vladimirovich Ulrikh , Panagiotis G. Asteris

Publication date Created: December 2022

Publication date (Print): December 2022

Journal: Construction and Building Materials

Publisher: Elsevier BV

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Most cited references 84

Record: found
Abstract: not found
Article: not found

Scikit-learn : machine learning in Python

F Pedregosa, A Gramfort, V MICHEL … (2011)

0 comments Cited 900 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Book: not found

Applied Predictive Modeling

Max Kuhn, Kjell Johnson (2013)

0 comments Cited 555 times – based on 0 reviews

Bookmark

Record: found
Abstract: not found
Article: not found

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

D. Armaghani, M. Hajihassani, E. Mohamad … (2014)

0 comments Cited 88 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Journal

Title: Construction and Building Materials

Abbreviated Title: Construction and Building Materials

Publisher: Elsevier BV

ISSN (Print): 09500618

Publication date Created: December 2022

Publication date (Print): December 2022

Volume: 359

Page: 129504

Article

DOI: 10.1016/j.conbuildmat.2022.129504

SO-VID: 9e81fa12-cb71-4e62-80f9-b3c5e09ec5b4

License:

https://www.elsevier.com/tdm/userlicense/1.0/

https://doi.org/10.15223/policy-017

https://doi.org/10.15223/policy-037

https://doi.org/10.15223/policy-012

https://doi.org/10.15223/policy-029

https://doi.org/10.15223/policy-004

History

Data availability:

Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete

Read this article at

Related collections

Teaching and learning evolution

Most cited references 84

Scikit-learn : machine learning in Python

Applied Predictive Modeling

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

Author and article information

Journal

Article

History

Comments

Comment on this article

Similar content 2,066

Cited by 8

Most referenced authors 876