Binh Thai Pham

5 ta ish

University Of Transport Technology

1. A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)

   Haoyuan Hong, Junzhi Liu, A‐Xing Zhu +5

   Maqola20172 iqtibos

   ABIABI:AkademIndex/2026.other.018735

2. Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

   Haoyuan Hong, Junzhi Liu, Dieu Tien Bui +6

   Maqola20182 iqtibos

   ABIABI:AkademIndex/2026.other.018736

3. Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

   Binh Thai Pham, Indra Prakash, Sushant K. Singh +4

   Maqola20182 iqtibos

   ABIABI:AkademIndex/2026.other.074599

4. Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

   Quang Hung Nguyen, Hai‐Bang Ly, Lanh Si Ho +5

   MaqolaOAOchiq kirish20212 iqtibos

   ABIABI:AkademIndex/2026.other.119993

5. Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

   Jian Zhou, Panagiotis G. Asteris, Danial Jahed Armaghani +1

   Maqola20202 iqtibos

   ABIABI:AkademIndex/2026.other.339002