Automatic concrete slump prediction of concrete batching plant by deep learning-Reference-Cited by-同舟云学术

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Automatic concrete slump prediction of concrete batching plant by deep learning

Published:2024-04 Issue: Volume:18 Page:100474
ISSN:2666-1659
Container-title:Developments in the Built Environment
language:en
Short-container-title:Developments in the Built Environment

Author:

Idrees Sarmad,Nugraha Joshua Agung,Tahir Shafaat^ORCID,Choi Kichang,Choi Jongeun,Ryu Deug-Hyun,Kim Jung-Hoon^ORCID

Publisher

Elsevier BV

Reference37 articles.

1. Performance evaluation of deep CNN-based crack detection and localization techniques for concrete structures;Ali;Sensors,2021

2. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions;Alzubaidi;J. Big Data,2021

3. Development of machine learning models for reliable prediction of the punching shear strength of FRP-reinforced concrete slabs without shear reinforcements;Badra;Measurement,2022

4. Artificial intelligence and smart vision for building and construction 4.0: machine and deep learning methods and applications;Baduge;Autom. ConStruct.,2022

5. Testing Fresh Concrete - Slump Test,2019

Cited by 1 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. Intelligent classification of construction quality problems based on unbalanced short text data mining;Ain Shams Engineering Journal;2024-08

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