Automatic identification method for three-phase structure of pervious concrete based on deep learning network of Mask R-CNN-Reference-Cited by-同舟云学术

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Automatic identification method for three-phase structure of pervious concrete based on deep learning network of Mask R-CNN

Published:2024-03 Issue: Volume:420 Page:135534
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Yu Fan,Cai Huan^ORCID,Zhang Hua,Hu Mingjun,Zhang Rui^ORCID,Gao Zhang

Publisher

Elsevier BV

Reference38 articles.

1. Explicit the urban waterlogging spatial variation and its driving factors: the stepwise cluster analysis model and hierarchical partitioning analysis approach;Zhang;Sci. Total. Environ.,2021

2. Integration of green and gray infrastructures for sponge city: water and energy nexus;Sun;Water Energy Nexus,2020

3. Matching analysis of investment structure and urban inundation control function of sponge cities in China;Wang;J. Clean. Prod.,2020

4. Water availability near the surface dominates the evaporation of pervious concrete;Qin;Constr. Build. Mater.,2016

5. Permeable concrete pavements: a review of environmental beneﬁts and durability;Xie;J. Clean. Prod.,2019

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