Subodh Chandra Pal

Orcid: 0000-0003-0805-8007

According to our database1, Subodh Chandra Pal authored at least 13 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Modeling tree species richness patterns and their environmental drivers across Hyrcanian mountain forests.
Ecol. Informatics, November, 2023

A new methodological approach to the establishment of sustainable agricultural ecology in drought vulnerable areas of eastern India.
Ecol. Informatics, July, 2023

2022
Land degradation risk dynamics assessment in red and lateritic zones of eastern plateau, India: A combine approach of K-fold CV, data mining and field validation.
Ecol. Informatics, 2022

2021
Climate and land use change induced future flood susceptibility assessment in a sub-tropical region of India.
Soft Comput., 2021

Evaluation of different DEMs for gully erosion susceptibility mapping using in-situ field measurement and validation.
Ecol. Informatics, 2021

2020
Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility.
Sensors, 2020

Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration.
Sensors, 2020

Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility.
Remote. Sens., 2020

Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility.
Remote. Sens., 2020

Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment.
Remote. Sens., 2020

Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms.
Remote. Sens., 2020

Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility.
Remote. Sens., 2020

Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility.
Remote. Sens., 2020


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