Strength Prediction of Concrete with Cold Joints Using Artificial Neural Network and Sensitivity Analysis-Reference-Cited by-同舟云学术

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Strength Prediction of Concrete with Cold Joints Using Artificial Neural Network and Sensitivity Analysis

Published:2024-01-12 Issue: Volume:8 Page:98-103
ISSN:
Container-title:2024 8th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)
language:
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Author:

Llanto Jomar M.¹,Silva Dante L.²,Marcos Christ John L.¹

Affiliation:

1. Mapua University,School of Graduate Studies,Manila,Philippines

2. Mapua University,School of Civil, Environmental, and Geological Engineering,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550190/10550346/10550428.pdf?arnumber=10550428

Reference19 articles.

1. Coping with the Information Age: Development of a Data Flow Diagram-Based Knowledge Management System for Mitigating Delays for Construction

2. Silva’s Management Competency Theory: A Factor-Item Analytic Approach Utilizing Oblique Rotation Direct Oblimin Method under Kaiser-Bartlett’s Test of Sphericity;Silva

3. Exploratory factor-item analytic approach for construction project cost overrun using oblique promax rotation for predictors determination;Cabuñas;International Journal of Innovative Technology and Exploring Engineering,2019

4. Study the delays and conflicts for construction projects and their mutual relationship: A review

5. Analysis Technique on Water Permeability in Concrete with Cold Joint considering Micro Pore Structure and Mineral Admixture

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