Intelligent Prediction of Asphalt Concrete Air Voids during Service Life Using Cubist and GBRT-Ensemble Learning Approaches Hybridized with an Equilibrium Optimizer Algorithm von Ghanizadeh, Ali Reza, Tavana Amlashi, Amir, Heidarabadizadeh, Nasrin, Dessouky, Samer

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AI-Based Formulation for Mechanical and Workability Properties of Eco-Friendly Concrete Made by Waste Foundry Sand von Tavana Amlashi, Amir, Alidoust, Pourya, Pazhouhi, Mahdi, Pourrostami Niavol, Kasra, Khabiri, Sahand, Ghanizadeh, Ali Reza

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A novel hybrid adaptive boosting approach for evaluating properties of sustainable materials: A case of concrete containing waste foundry sand von Ghanizadeh, Ali Reza, Tavana Amlashi, Amir, Dessouky, Samer

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Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network and support vector machine von Ghanizadeh, Ali Reza, Abbaslou, Hakime, Amlashi, Amir Tavana, Alidoust, Pourya

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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 von Ghanizadeh, Ali Reza, Amlashi, Amir Tavana, Bahrami, Alireza, Isleem, Haytham F., Dessouky, Samer

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Application of hybridized ensemble learning and equilibrium optimization in estimating damping ratios of municipal solid waste von Moradi Moghaddam, Hossein, Keramati, Mohsen, Bahrami, Alireza, Ghanizadeh, Ali Reza, Amlashi, Amir Tavana, Isleem, Haytham F., Navazani, Mohsen, Dessouky, Samer

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Soft computing based formulations for slump, compressive strength, and elastic modulus of bentonite plastic concrete von Amlashi, Amir Tavana, Abdollahi, Seyed Mohammad, Goodarzi, Saeed, Ghanizadeh, Ali Reza

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Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques von Alidoust, Pourya, Keramati, Mohsen, Hamidian, Pouria, Amlashi, Amir Tavana, Gharehveran, Mahsa Modiri, Behnood, Ali

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The compatibility of bentonite/sepiolite plastic concrete cut-off wall material von Abbaslou, Hakime, Ghanizadeh, Ali Reza, Amlashi, Amir Tavana

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Shear modulus prediction of landfill components using novel machine learners hybridized with forensic-based investigation optimization von Moghaddam, Hossein Moradi, Keramati, Mohsen, Fahimifar, Ahmad, Ebadi, Taghi, Siddiqua, Sumi, Ghanizadeh, Ali Reza, Amlashi, Amir Tavana, Dessouky, Samer

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