Digital technology for quality management in construction: A review and future research directions-Reference-Cited by-同舟云学术

Digital technology for quality management in construction: A review and future research directions

Published:2022-12 Issue: Volume:12 Page:100087
ISSN:2666-1659
Container-title:Developments in the Built Environment
language:en
Short-container-title:Developments in the Built Environment

Author:

Luo Hanbin,Lin Ling,Chen Ke,Antwi-Afari Maxwell Fordjour,Chen Lijuan^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Materials Science (miscellaneous),Building and Construction,Civil and Structural Engineering,Architecture

Reference131 articles.

1. Deep learning in the construction industry: a review of present status and future innovations;Akinosho;J. Build. Eng.,2020

2. The relationship between quality defects and the thermal performance of buildings;Alencastro;Renew. Sustain. Energy Rev.,2018

3. Real-time image localization and registration with BIM using perspective alignment for indoor monitoring of construction;Asadi;J. Comput. Civ. Eng.,2019

4. Arc Length method for extracting crack pattern characteristics;Asjodi;Struct. Control Health Monit.,2021

5. Pattern recognition of concrete surface cracks and defects using integrated image processing algorithms;Balbin;Second International Workshop on Pattern Recognition, Bellingham,2017

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