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3. Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers. Issue 3 (1st February 2022)

4. Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India. (12th April 2022)

5. Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basin. Issue 1 (1st January 2021)

6. GIS-based ensemble soft computing models for landslide susceptibility mapping. Issue 6 (15th September 2020)

7. GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India. (29th August 2021)

10. Hybrid Model: Teaching Learning-Based Optimization of Artificial Neural Network (TLBO-ANN) for the Prediction of Soil Permeability Coefficient. (19th March 2022)