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- 2023
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Mark
Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders
(
- Contribution to journal › Article
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Mark
ML-Based Computational Model to Estimate the Compressive Strength of Sustainable Concrete Integrating Silica Fume and Steel Fibers
2023) 5th International Conference on Information Systems and Management Science, ISMS 2022 In Lecture Notes in Networks and Systems 671 LNNS. p.231-244(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding