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Amir Tavana Amlashi

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Ghanizadeh, Ali Reza / Amlashi, Amir Tavana / Dessouky, Samer / Ebrahimi, Seyed Abolfazl: 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. In: European Journal of Environmental and Civil Engineering.

    https://doi.org/10.1080/19648189.2024.2335343

  2. Ghanizadeh, Ali Reza / Amlashi, Amir Tavana / Heidarabadizadeh, Nasrin / Dessouky, Samer (2024): Intelligent Prediction of Asphalt Concrete Air Voids during Service Life Using Cubist and GBRT-Ensemble Learning Approaches Hybridized with an Equilibrium Optimizer Algorithm. In: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 5 (May 2024).

    https://doi.org/10.1061/jmcee7.mteng-17222

  3. Ghanizadeh, Ali Reza / Amlashi, Amir Tavana / Dessouky, Samer (2023): A novel hybrid adaptive boosting approach for evaluating properties of sustainable materials: A case of concrete containing waste foundry sand. In: Journal of Building Engineering, v. 72 (August 2023).

    https://doi.org/10.1016/j.jobe.2023.106595

  4. Moradi Moghaddam, Hossein / Keramati, Mohsen / Fahimifar, Ahmad / Ebadi, Taghi / Siddiqua, Sumi / Ghanizadeh, Ali Reza / Amlashi, Amir Tavana / Dessouky, Samer (2024): Shear modulus prediction of landfill components using novel machine learners hybridized with forensic-based investigation optimization. In: Construction and Building Materials, v. 411 (January 2024).

    https://doi.org/10.1016/j.conbuildmat.2023.134443

  5. Alidoust, Pourya / Goodarzi, Saeed / Amlashi, Amir Tavana / Sadowski, Ɓukasz (2022): Comparative analysis of soft computing techniques in predicting the compressive and tensile strength of seashell containing concrete. In: European Journal of Environmental and Civil Engineering, v. 27, n. 5 (August 2022).

    https://doi.org/10.1080/19648189.2022.2102081

  6. Amlashi, Amir Tavana / Golafshani, Emadaldin Mohammadi / Ebrahimi, Seyed Abolfazl / Behnood, Ali (2022): Estimation of the compressive strength of green concretes containing rice husk ash: a comparison of different machine learning approaches. In: European Journal of Environmental and Civil Engineering, v. 27, n. 2 (April 2022).

    https://doi.org/10.1080/19648189.2022.2068657

  7. Amlashi, Amir Tavana / Alidoust, Pourya / Pazhouhi, Mahdi / Pourrostami Niavol, Kasra / Khabiri, Sahand / Ghanizadeh, Ali Reza (2021): AI-Based Formulation for Mechanical and Workability Properties of Eco-Friendly Concrete Made by Waste Foundry Sand. In: Journal of Materials in Civil Engineering (ASCE), v. 33, n. 4 (April 2021).

    https://doi.org/10.1061/(asce)mt.1943-5533.0003645

  8. Amlashi, Amir Tavana / Alidoust, Pourya / Ghanizadeh, Ali Reza / Khabiri, Sahand / Pazhouhi, Mahdi / Monabati, Mohammad Soroush (2020): Application of computational intelligence and statistical approaches for auto-estimating the compressive strength of plastic concrete. In: European Journal of Environmental and Civil Engineering, v. 26, n. 8 (September 2020).

    https://doi.org/10.1080/19648189.2020.1803144

  9. Ghanizadeh, Ali Reza / Abbaslou, Hakime / Amlashi, Amir Tavana / Alidoust, Pourya (2019): Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network and support vector machine. In: Frontiers of Structural and Civil Engineering, v. 13, n. 1 (February 2019).

    https://doi.org/10.1007/s11709-018-0489-z

  10. Abbaslou, Hakime / Ghanizadeh, Ali Reza / Amlashi, Amir Tavana (2016): The compatibility of bentonite/sepiolite plastic concrete cut-off wall material. In: Construction and Building Materials, v. 124 (October 2016).

    https://doi.org/10.1016/j.conbuildmat.2016.08.116

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