| Prediction of landslide susceptibility in Rudraprayag, India using novel ensemble of conditional probability and boosted regression tree-based on cross-validation method S Saha, A Arabameri, A Saha, T Blaschke, PTT Ngo, VH Nhu, SS Band Science of the total environment 764, 142928, 2021 | 94 | 2021 |
| Comparing the efficiency of weight of evidence, support vector machine and their ensemble approaches in landslide susceptibility modelling: A study on Kurseong region of … A Saha, S Saha Remote Sensing Applications: Society and Environment 19, 100323, 2020 | 76 | 2020 |
| Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of … S Saha, A Saha, TK Hembram, B Pradhan, AM Alamri Applied Sciences 10 (11), 3772, 2020 | 69 | 2020 |
| Analyzing spatial relationship between land use/land cover (LULC) and land surface temperature (LST) of three urban agglomerations (UAs) of Eastern India S Saha, A Saha, M Das, A Saha, R Sarkar, A Das Remote Sensing Applications: Society and Environment 22, 100507, 2021 | 63 | 2021 |
| Application of statistical probabilistic methods in landslide susceptibility assessment in Kurseong and its surrounding area of Darjeeling Himalayan, India: RS-GIS approach A Saha, S Saha Environment, Development and Sustainability 23 (3), 4453-4483, 2021 | 34 | 2021 |
| Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region S Saha, A Saha, TK Hembram, K Mandal, R Sarkar, D Bhardwaj Stochastic Environmental Research and Risk Assessment 36 (10), 3597-3616, 2022 | 26 | 2022 |
| Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya S Saha, A Saha, TK Hembram, B Kundu, R Sarkar Geocarto International 37 (27), 17018-17043, 2022 | 25 | 2022 |
| Geo-spatial approach-based landslide susceptibility mapping using analytical hierarchical process, frequency ratio, logistic regression and their ensemble methods A Saha, S Mandal, S Saha SN Applied Sciences 2 (10), 1647, 2020 | 24 | 2020 |
| Enhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India RS Ajin, S Saha, A Saha, A Biju, R Costache, SL Kuriakose Journal of the Indian Society of Remote Sensing 50 (11), 2245-2265, 2022 | 23 | 2022 |
| Integrating the Particle Swarm Optimization (PSO) with machine learning methods for improving the accuracy of the landslide susceptibility model S Saha, A Saha, B Roy, R Sarkar, D Bhardwaj, B Kundu Earth Science Informatics 15 (4), 2637-2662, 2022 | 21 | 2022 |
| Integrating the artificial intelligence and hybrid machine learning algorithms for improving the accuracy of spatial prediction of landslide hazards in Kurseong Himalayan Region A Saha, S Saha Artificial Intelligence in Geosciences 3, 14-27, 2022 | 18 | 2022 |
| Manifesting deep learning algorithms for developing drought vulnerability index in monsoon climate dominant region of West Bengal, India S Saha, B Kundu, A Saha, K Mukherjee, B Pradhan Theoretical and applied climatology 151 (1), 891-913, 2023 | 9 | 2023 |
| 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 Modeling Earth Systems and Environment 4, 659-672, 2018 | 8 | 2018 |
| Integrating deep learning neural network and M5P with conventional statistical models for landslide susceptibility modelling S Saha, A Saha, M Santosh, B Kundu, R Sarkar, TK Hembram Bulletin of Engineering Geology and the Environment 83 (1), 12, 2024 | 6 | 2024 |
| Landslide Susceptibility Assessment and Management Using Advanced Hybrid Machine Learning Algorithms in Darjeeling Himalaya, India A Saha, S Saha Applied Geomorphology and Contemporary Issues, 667-681, 2022 | 5 | 2022 |
| An Ensemble of J48 Decision Tree with AdaBoost and Bagging for Flood Susceptibility Mapping in the Sundarbans of West Bengal, India S Pal, A Saha, P Gogoi, S Saha Geomorphic Risk Reduction Using Geospatial Methods and Tools, 117-133, 2024 | 1 | 2024 |
| Novel Ensemble of M5P and Deep Learning Neural Network for Predicting Landslide Susceptibility: A Cross-Validation Approach A Saha, S Saha, A Chaudhary, R Sarkar Geomorphic Risk Reduction Using Geospatial Methods and Tools, 79-97, 2024 | | 2024 |
| Artificial Neural Network Ensemble with General Linear Model for Modeling the Landslide Susceptibility in Mirik Region of West Bengal, India S Saha, A Saha, B Roy, A Chaudhary, R Sarkar Geomorphic Risk Reduction Using Geospatial Methods and Tools, 41-59, 2024 | | 2024 |
| Spatial Flash Flood Modeling in the Beas River Basin of Himachal Pradesh, India, Using GIS-Based Machine Learning Algorithms S Saha, A Saha, A Agarwal, A Kumar, R Sarkar Geomorphic Risk Reduction Using Geospatial Methods and Tools, 135-151, 2024 | | 2024 |
| Assessment of Landslide Vulnerability Using Statistical and Machine Learning Methods in Bageshwar District of Uttarakhand, India S Khatun, A Saha, P Gogoi, S Saha, R Sarkar Geomorphic Risk Reduction Using Geospatial Methods and Tools, 99-116, 2024 | | 2024 |
Sunil SahaAssistant Professor of Geography, University of Gour Banga在 ugb.ac.in 的电子邮件经过验证
Sunil SahaAssistant Professor of Geography, University of Gour Banga在 ugb.ac.in 的电子邮件经过验证