• A Comparative Study of Soft Computing Models for Prediction of Permeability Coefficient of Soil 

      Pham, Binh Thai; Nguyen, Duc Manh; Nadhir, Al-Ansari; Tran, Quoc Anh; Ho, Si Lanh; Le, Van Hiep; Prakash, Indra (Peer reviewed; Journal article, 2021)
      Determination of the permeability coefficient (K) of soil is considered as one of the essential steps to assess infiltration, runoff, groundwater, and drainage in the design process of the construction projects. In this ...
    • On random subspace optimization-based hybrid computing models predicting the california bearing ratio of soils 

      Trong, Duong Kien; Pham, Binh Thai; Jalal, Fazal E.; Iqbal, Mudassir; Roussis, Panayiotis C.; Mamou, Anna; Ferentinou, Maria; Vu, Dung Quang; Dam, Nguyen Duc; Tran, Quoc Anh; Asteris, Panagiotis G. (Peer reviewed; Journal article, 2021)
      The California Bearing Ratio (CBR) is an important index for evaluating the bearing capacity of pavement subgrade materials. In this research, random subspace optimization-based hybrid computing models were trained and ...