Abdullah, H. H., Shahin, M. A., and Sarker, P., 2017, Stabilization of clay with fly-ash geopolymer incorporating GGBFS: Proceedings of the second world congress on civil, structural and environmental engineering (CSEE’17).
Behnood, A., 2018, Soil and clay stabilization with calcium- and non-calcium-based additives: A state-of-the-art review of challenges, approaches and techniques: Transportation Geotechnics, 17, 14-32, doi:https://doi.org/10.1016/j.trgeo.2018.08.002.
Brownlee, J., 2016, Machine Learning Mastery with Python: Understand Your Data, Create Accurate Models, and Work Projects End-to-End: Machine Learning Mastery, San Francisco.
Das, S. K., Samui, P., and Sabat, A. K., 2011, Application of artificial intelligence to maximum dry density and unconfined compressive strength of cement stabilized soil: Geotechnical and Geological Engineering, 29(3), 329-342, doi:10.1007/s10706-010-9379-4.
de Araújo, M. T., Ferrazzo, S. T., Chaves, H. M., da Rocha, C. G., and Consoli, N. C., 2023, Mechanical behavior, mineralogy, and microstructure of alkali-activated wastes-based binder for a clayey soil stabilization: Construction and Building Materials, 362, 129757.
Ghadir, P., and Ranjbar, N., 2018, Clayey soil stabilization using geopolymer and Portland cement: Construction and Building Materials, 188, 361-371.
Ghanizadeh, A. R., Bayat, M., Tavana Amlashi, A., and Rahrovan, M., 2019, Prediction of unconfined compressive strength of clay subgrade soil stabilized with Portland cement and lime using Group Method of Data Handling (GMDH): Journal of Transportation Infrastructure Engineering, 5(1), 77-96.
Ghanizadeh, A. R., Heidarabadizadeh, N., Bayat, M., and Khalifeh, V., 2022, Modeling of unconfined compressive strength and Young's modulus of lime and cement stabilized clayey subgrade soil using Evolutionary Polynomial Regression (EPR): International Journal of Mining and Geo-Engineering, doi:https://doi.org/10.22059/IJMGE.2022.306688.594858
Ghanizadeh, A. R., and Naseralavi, S. S., 2023, Intelligent prediction of unconfined compressive strength and Young's modulus of lean clay stabilized with iron ore mine tailings and hydrated lime using Gaussian process regression: Journal of Soft Computing in Civil Engineering, 7(4).
Ghanizadeh, A. R., and Rahrovan, M., 2019, Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate adaptive regression spline: Frontiers of Structural and Civil Engineering, 13, 787-799.
Ghanizadeh, A. R., Rahrovan, M., and Heydarabadi, N., 2021, Modeling of unconfined compressive strength (UCS) of full-depth reclaimed base materials stabilized with Portland cement using Evolutionary Polynomial Regression: Journal of Civil and Environmental Engineering, 51(105), 171-184, doi:10.22059/IJMGE.2022.306688.594858.
Ghorbani, A., and Hasanzadeh Shooiili, H., 2018, Prediction of UCS and CBR of microsilica-lime stabilized sulfate silty sand using ANN and EPR models; application to the deep soil mixing: Soils and Foundations, 58(1), 34-49.
Güllü, H., 2014, Function finding via genetic expression programming for strength and elastic properties of clay treated with bottom ash: Engineering Applications of Artificial Intelligence, 35, 143-157.
Heidari Dezfuli, T., and Ghanizadeh, A. R., 2020, Prediction of compressive and tensile strength of clayey subgrade soil stabilized with Portland cement and iron ore mine tailing using computational intelligence methods: Civil Infrastructure Researches, 6(1), 73-88.
Kaniraj, S. R., and Havanagi, V. G., 1999, Compressive strength of cement stabilized fly ash-soil mixtures: Cement and Concrete Research, 29(5), 673-677.
Miao, S., Shen, Z., Wang, X., Luo, F., Huang, X., and Wei, C., 2017, Stabilization of highly expansive black cotton soils by means of geopolymerization: Journal of Materials in Civil Engineering, 29(10), 04017170.
Miller, H. J., Guthrie, W. S., Crane, R. A., and Smith, B., 2006, Evaluation of cement-stabilized full-depth-recycled base materials for frost and early traffic conditions: Recycled Materials Resource Center, University of New Hampshire, 27.
Miura, N., Horpibulsuk, S., and Nagaraj, T., 2001, Engineering behavior of cement stabilized clay at high water content: Soils and Foundations, 41(5), 33-45.
Mozumder, R. A., Laskar, A. I., and Hussain, M., 2017, Empirical approach for strength prediction of geopolymer stabilized clayey soil using support vector machines: Construction and Building Materials, 132, 412-424.
Raschka, S., Liu, Y. H., and Mirjalili, V., 2022, Machine Learning with PyTorch and Scikit-Learn: Packt Publishing.
Seco, A., Ramírez, F., Miqueleiz, L., and García, B., 2011, Stabilization of expansive soils for use in construction: Applied Clay Science, 51(3), 348-352.
Soleimani, S., Rajaei, S., Jiao, P., Sabz, A., and Soheilinia, S., 2018, New prediction models for unconfined compressive strength of geopolymer stabilized soil using multi-gen genetic programming: Measurement, 113, 99-107.
Sukprasert, S., Hoy, M., Horpibulsuk, S., Arulrajah, A., Rashid, A. S. A., and Nazir, R., 2021, Fly ash based geopolymer stabilisation of silty clay/blast furnace slag for subgrade applications: Road Materials and Pavement Design, 22(2), 357-371.
Theobald, O., 2017, Machine Learning for Absolute Beginners: A Plain English Introduction, 157: Scatterplot Press, London, UK.
Wild, S., Kinuthia, J., Jones, G., and Higgins, D., 1998, Effects of partial substitution of lime with ground granulated blast furnace slag (GGBS) on the strength properties of lime-stabilised sulphate-bearing clay soils: Engineering Geology, 51(1), 37-53.
Xue, X., Yang, X., and Chen, X., 2014, Application of a support vector machine for prediction of slope stability: Science China Technological Sciences, 57(12), 2379-2386, doi:https://doi.org/10.1007/s11431-014-5699-6.
Yi, Y., Zheng, X., Liu, S., and Al-Tabbaa, A., 2015, Comparison of reactive magnesia-and carbide slag-activated ground granulated blastfurnace slag and Portland cement for stabilisation of a natural soil: Applied Clay Science, 111, 21-26.
Yoobanpot, N., Jamsawang, P., and Horpibulsuk, S., 2017, Strength behavior and microstructural characteristics of soft clay stabilized with cement kiln dust and fly ash residue: Applied Clay Science, 141, 146-156, doi:https://doi.org/10.1016/j.clay.2017.02.028.
