Advanced Quality Control Models for Concrete Admixtures-Reference-Cited by-同舟云学术

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Advanced Quality Control Models for Concrete Admixtures

Published:2020-02 Issue:2 Volume:32 Page:04019349
ISSN:0899-1561
Container-title:Journal of Materials in Civil Engineering
language:en
Short-container-title:J. Mater. Civ. Eng.

Author:

Choi Hyungjoo¹^ORCID,Venkiteela Giri²,Gregori Amedeo³,Najm Husam⁴

Affiliation:

1. Structural Engineer, Structural Engineering Div., Titan Engineers PC, 1331 Stuyvesant Ave., Union, NJ 07083 (corresponding author). ORCID: .

2. Research Project Manager, New Jersey Dept. of Transportation, Bureau of Research, P.O. Box 600, Trenton, NJ 08625.

3. Researcher, Dept. of Civil, Building and Environmental Engineering, Univ. of L’Aquila, L’Aquila 67100, Italy.

4. Professor, Dept. of Civil and Environmental Engineering, Rutgers, The State Univ. of New Jersey, Piscataway, NJ 08854.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29MT.1943-5533.0003024

Reference35 articles.

1. Neural Networks in Civil Engineering: 1989–2000

2. Quantitative Assessment of Infrared Analysis of Concrete Admixtures

3. Neural networks primer, Part I;Caudill M.;AI Expert,1987

4. Feng X. A. Hadid and M. Pietikäinen. 2004. “A coarse-to-fine classification scheme for facial expression recognition.” In Proc. International Conf. Image Analysis and Recognition 668–675. Berlin: Springer.

Cited by 4 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. Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions;Applied Soft Computing;2024-10

2. Decoding the Genome of Cement by Machine Learning;2023

3. Artificial Neural Networks for Sustainable Development of the Construction Industry;Sustainability;2022-11-09

4. Machine learning in concrete science: applications, challenges, and best practices;npj Computational Materials;2022-06-06

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