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Identification and analysis of seashells in sea sand using computer vision and machine learning

  • Published:2023-07 Issue: Volume:18 Page:e02121
  • ISSN:2214-5095
  • Container-title:Case Studies in Construction Materials
  • language:en
  • Short-container-title:Case Studies in Construction Materials

Author:

Liu Tiejun,Ju Yutong,Lyu Hanxiong,Zhuo Qinglin,Qian Hanjie,Li Ye

Funder

State Key Laboratory of High Performance Civil Engineering Materials

National Natural Science Foundation of China

Shenzhen Science and Technology Innovation Commission

National Science Fund for Distinguished Young Scholars

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous)

Reference39 articles.

1. A review on seawater sea-sand concrete: Mixture proportion, hydration, microstructure and properties;Zhao;Constr. Build. Mater.,2021

2. Recent trends in replacement of natural sand with different alternatives;Sankh;Proc. Int. Conf. Adv. Eng. Technol.,2014

3. Mechanical behavior of concrete using seawater and sea‐sand with recycled coarse aggregates;Xiao;Struct. Concr.,2019

4. Fresh and hardened properties of seawater-mixed concrete;Younis;Constr. Build. Mater.,2018

5. Secondary aggregates and seawater employment for sustainable concrete dyke blocks production: Case study;Etxeberria;Constr. Build. Mater.,2016

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Incorporating sea sand into self-compacting concrete: a systematic review;Discover Applied Sciences;2024-04-05

2. Detection of Shell Waste on Sea Sand Using YOLOv5 Model;2024 7th International Conference on Information and Computer Technologies (ICICT);2024-03-15
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