A Bio-Inspired Adaptive Probability IVYPSO Algorithm with Adaptive Strategy for Backpropagation Neural Network Optimization in Predicting High-Performance Concrete Strength. [PDF]
Biomimetics (Basel)Zhang K, Li X, Zhang S, Zhang S.
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Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods. [PDF]
Sci RepSathvik S +6 more
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Soft computing models for prediction of bentonite plastic concrete strength. [PDF]
Sci RepInqiad WB +6 more
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Relationship Between Schmidt Hammer Rebound Hardness Test and Concrete Strength Tests for Limestone Aggregate Concrete Based on Experimental and Statistical Study. [PDF]
Materials (Basel)Tugrul Tunc E.
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Parent Concrete Strength Effects on the Quality of Recycled Aggregate Concrete: A Review. [PDF]
HeliyonGebremariam HG, Taye S, Tarekegn AG.
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ConcreteXAI: A multivariate dataset for concrete strength prediction via deep-learning-based methods. [PDF]
Data BriefGuzmán-Torres JA +4 more
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Influences of Chemical Composition and Fineness on the Development of Concrete Strength by Curing Conditions. [PDF]
Materials (Basel), 2019 Lee J, Lee T.
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Wireless Concrete Strength Monitoring of Wind Turbine Foundations. [PDF]
Sensors (Basel), 2017 Perry M +4 more
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Establishment of a Mass Concrete Strength-Monitoring Method Using Barium Titanate-Bismuth Ferrite/Polyvinylidene Fluoride Nanocomposite Piezoelectric Sensors with Temperature Stability. [PDF]
Sensors (Basel)Lin G, Lu D, Cui B, Lin A, Liu M, Ye Y.
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