A. Saha

发表

Prediction of landslide susceptibility in Rudraprayag, India using novel ensemble of conditional probability and boosted regression tree-based on cross-validation method.

Shahab S. Band, T. Blaschke, Viet-Ha Nhu, 2020, The Science of the total environment.

Support vector machines for monitoring land use dynamicity and temporal variation of land surface temperature in Kurseong and surrounding of Darjeeling Himalaya

S. Mandal, A. Saha, 2018, Modeling Earth Systems and Environment.

Geo-spatial approach-based landslide susceptibility mapping using analytical hierarchical process, frequency ratio, logistic regression and their ensemble methods

S. Mandal, S. Saha, A. Saha, 2020, SN Applied Sciences.

Enhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India

S. L. Kuriakose, R. Costache, S. Saha, 2022, Journal of the Indian Society of Remote Sensing.

The Positive Effects of Covid-19 Lockdown on Environmental Attributes: A Review

A. Saha, Sushmita Saha, M. Saha, 2022, American Journal of Environment and Climate.

Enhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India

S. L. Kuriakose, R. Costache, S. Saha, 2022, Journal of the Indian Society of Remote Sensing.

Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region

Tusar Kanti Hembram, K. Mandal, S. Saha, 2022, 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.

Review on Plant Biodiversity and Conservation in Bangladesh: Drawbacks and Prospects

A. Saha, Sushmita Saha, Kishor Kumar Sarker, 2022, American Journal of Agricultural Science, Engineering, and Technology.

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.

Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya

Biswajeet Pradhan, Sunil Saha, Anik Saha, 2020, Applied Sciences.

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.

Comparing the efficiency of weight of evidence, support vector machine and their ensemble approaches in landslide susceptibility modelling: A study on Kurseong region of Darjeeling Himalaya, India

S. Saha, A. Saha, 2020 .

Application of statistical probabilistic methods in landslide susceptibility assessment in Kurseong and its surrounding area of Darjeeling Himalayan, India: RS-GIS approach

S. Saha, A. Saha, 2020, Environment, Development and Sustainability.

Analyzing spatial relationship between land use/land cover (LULC) and land surface temperature (LST) of three urban agglomerations (UAs) of Eastern India

Arijit Das, S. Saha, R. Sarkar, 2021 .

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.

Integrating the artificial intelligence and hybrid machine learning algorithms for improving the accuracy of spatial prediction of landslide hazards in Kurseong Himalayan Region

S. Saha, A. Saha, 2022, Artificial Intelligence in Geosciences.

Sustainability Analysis of Different Types of Power Plants Using Multi-Criteria Decision Analysis Methods

Abdullah Al Bari, Anik Saha, Shadman Tahsin Nabil, 2020 .