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Amir Tavana Amlashi

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  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. Dans: 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. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 5 (mai 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. Dans: Journal of Building Engineering, v. 72 (août 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. Dans: Construction and Building Materials, v. 411 (janvier 2024).

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

  5. Alidoust, Pourya / Goodarzi, Saeed / Amlashi, Amir Tavana / Sadowski, Łukasz (2022): Comparative analysis of soft computing techniques in predicting the compressive and tensile strength of seashell containing concrete. Dans: European Journal of Environmental and Civil Engineering, v. 27, n. 5 (août 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. Dans: European Journal of Environmental and Civil Engineering, v. 27, n. 2 (avril 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. Dans: Journal of Materials in Civil Engineering (ASCE), v. 33, n. 4 (avril 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. Dans: European Journal of Environmental and Civil Engineering, v. 26, n. 8 (septembre 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. Dans: Frontiers of Structural and Civil Engineering, v. 13, n. 1 (février 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. Dans: Construction and Building Materials, v. 124 (octobre 2016).

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

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