B. Kundu

Integrating the Particle Swarm Optimization (PSO) with machine learning methods for improving the accuracy of the landslide susceptibility model

S. Saha, R. Sarkar, A. Saha, 2022, Earth Science Informatics.

Manifesting deep learning algorithms for developing drought vulnerability index in monsoon climate dominant region of West Bengal, India

B. Pradhan, Kaustuv Mukherjee, S. Saha, 2022, Theoretical and Applied Climatology.

Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya

Tusar Kanti Hembram, S. Saha, R. Sarkar, 2022, Geocarto International.

Proposing novel ensemble approach of particle swarm optimized and machine learning algorithms for drought vulnerability mapping in Jharkhand, India

Biswajeet Pradhan, Amiya Gayen, Sunil Saha, 2021, Geocarto International.

Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha

Biswajeet Pradhan, Sunil Saha, Abhirup Dikshit, 2021, Geomatics, Natural Hazards and Risk.

Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models

B. Pradhan, G. Paul, S. Saha, 2023, Stochastic Environmental Research and Risk Assessment.

Integrating the Particle Swarm Optimization (PSO) with machine learning methods for improving the accuracy of the landslide susceptibility model

S. Saha, R. Sarkar, A. Saha, 2022, Earth Science Informatics.