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Experimental investigation and comparative machine-learning prediction of strength behavior of optimized recycled rubber concrete

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Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete

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Development of ensemble learning models to evaluate the strength of coal-grout materials

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Development of rubberized geopolymer concrete: Strength and durability studies

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Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression

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A generalized method to predict the compressive strength of high-performance concrete by improved random forest algorithm

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Mechanical and Fracture Properties of Fly Ash Geopolymer Concrete Addictive with Calcium Aluminate Cement

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Performance of Fly Ash Geopolymer Concrete Incorporating Bamboo Ash at Elevated Temperature

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Critical review on fly‐ash based geopolymer concrete

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Spalling behavior of metakaolin-fly ash based geopolymer concrete under elevated temperature exposure

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A review on mixture design methods for geopolymer concrete

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Early age, hydration, mechanical and microstructure properties of nano-silica blended cementitious composites

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The recent progress of recycled steel fiber reinforced concrete

(2019) K.M. Liew et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of mechanical properties of green concrete incorporating waste foundry sand based on gene expression programming

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Investigating Various Factors Affecting the Long-Term Compressive Strength of Heat-Cured Fly Ash Geopolymer Concrete and the Use of Orthogonal Experimental Design Method

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Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model

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Design of fly ash geopolymer concrete mix proportions using Multivariate Adaptive Regression Spline model

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Optimizing asphalt mix design process using artificial neural network and genetic algorithm

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Artificial neural network based modelling approach for strength prediction of concrete incorporating agricultural and construction wastes

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Numerical formulation of confined compressive strength and strain of circular reinforced concrete columns using gene expression programming approach

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Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

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Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network

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Properties of lightweight fly ash geopolymer concrete containing bottom ash as aggregates

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Investigation of early compressive strength of fly ash-based geopolymer concrete

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Effect of cement addition, solution resting time and curing characteristics on fly ash based geopolymer concrete performance

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Mechanical properties of fly ash based geopolymer concrete with full and partial cement replacement

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Influence of recycled aggregate on fly ash geopolymer concrete properties

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Assessment of artificial neural network and genetic programming as predictive tools

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Predicting stock market index using fusion of machine learning techniques

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Prediction of slump flow of high-performance concrete via parallel hyper-cubic gene-expression programming

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Effects of elevated temperatures on the thermal behavior and mechanical performance of fly ash geopolymer paste, mortar and lightweight concrete

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An evolutionary approach for modeling of shear strength of RC deep beams

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The effect of microwave incinerated rice husk ash on the compressive and bond strength of fly ash based geopolymer concrete

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Novel Approach to Strength Modeling of Concrete under Triaxial Compression

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Empirical modeling of shear strength of steel fiber reinforced concrete beams by gene expression programming

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Gene expression programming based formulations for splitting tensile strength of concrete

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Genetic programming approach for prediction of compressive strength of concretes containing rice husk ash

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Formulation of flow number of asphalt mixes using a hybrid computational method

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Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures

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Genetic programming based formulation for fresh and hardened properties of self-compacting concrete containing pulverised fuel ash

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