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Intelligent Prediction of Asphalt Concrete Air Voids during Service Life Using Cubist and GBRT-Ensemble Learning Approaches Hybridized with an Equilibrium Optimizer Algorithm

Journal of materials in civil engineering, 2024-05, Vol.36 (5)

2024

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Estimation of the compressive strength of green concretes containing rice husk ash: a comparison of different machine learning approaches

European journal of environmental and civil engineering, 2023-01, Vol.27 (2), p.961-983

2023

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AI-Based Formulation for Mechanical and Workability Properties of Eco-Friendly Concrete Made by Waste Foundry Sand

Journal of materials in civil engineering, 2021-04, Vol.33 (4)

2021

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A novel hybrid adaptive boosting approach for evaluating properties of sustainable materials: A case of concrete containing waste foundry sand

Journal of Building Engineering, 2023-08, Vol.72, p.106595, Article 106595

2023

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Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network and support vector machine

Frontiers of Structural and Civil Engineering, 2019-02, Vol.13 (1), p.215-239

2019

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A comparison of novel hybrid ensemble learners to predict the compressive strength of green engineering materials: a case of concrete composed of rice husk ash

European journal of environmental and civil engineering, 2024-04, p.1-28

2024

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A formulation for asphalt concrete air void during service life by adopting a hybrid evolutionary polynomial regression and multi-gene genetic programming

Scientific reports, 2024-06, Vol.14 (1), p.13254-23

2024

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Application of hybridized ensemble learning and equilibrium optimization in estimating damping ratios of municipal solid waste

Scientific reports, 2024-07, Vol.14 (1), p.17584-25, Article 17584

2024

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Soft computing based formulations for slump, compressive strength, and elastic modulus of bentonite plastic concrete

Journal of cleaner production, 2019-09, Vol.230, p.1197-1216

2019

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Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques

Journal of cleaner production, 2021-06, Vol.303, p.127053, Article 127053

2021

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The compatibility of bentonite/sepiolite plastic concrete cut-off wall material

Construction & building materials, 2016-10, Vol.124, p.1165-1173

2016

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Comparative analysis of soft computing techniques in predicting the compressive and tensile strength of seashell containing concrete

European journal of environmental and civil engineering, 2023-04, Vol.27 (5), p.1853-1875

2023

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Shear modulus prediction of landfill components using novel machine learners hybridized with forensic-based investigation optimization

Construction & building materials, 2024-01, Vol.411, p.134443, Article 134443

2024

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Application of computational intelligence and statistical approaches for auto-estimating the compressive strength of plastic concrete

European journal of environmental and civil engineering, 2022-06, Vol.26 (8), p.3459-3490

2022

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Intelligent Prediction of Asphalt Concrete Air Voids during Service Life Using Cubist and GBRT-Ensemble Learning Approaches Hybridized with an Equilibrium Optimizer Algorithm

Estimation of the compressive strength of green concretes containing rice husk ash: a comparison of different machine learning approaches

AI-Based Formulation for Mechanical and Workability Properties of Eco-Friendly Concrete Made by Waste Foundry Sand

A novel hybrid adaptive boosting approach for evaluating properties of sustainable materials: A case of concrete containing waste foundry sand

Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network and support vector machine

A comparison of novel hybrid ensemble learners to predict the compressive strength of green engineering materials: a case of concrete composed of rice husk ash

A formulation for asphalt concrete air void during service life by adopting a hybrid evolutionary polynomial regression and multi-gene genetic programming

Application of hybridized ensemble learning and equilibrium optimization in estimating damping ratios of municipal solid waste

Soft computing based formulations for slump, compressive strength, and elastic modulus of bentonite plastic concrete

Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques

The compatibility of bentonite/sepiolite plastic concrete cut-off wall material

Comparative analysis of soft computing techniques in predicting the compressive and tensile strength of seashell containing concrete

Shear modulus prediction of landfill components using novel machine learners hybridized with forensic-based investigation optimization

Application of computational intelligence and statistical approaches for auto-estimating the compressive strength of plastic concrete

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