Hasil Pencarian - Sunil Saha

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  1. 1
    Ensemble hybrid machine learning methods for gully erosion susceptibility mapping: K-fold cross validation approach

    Ensemble hybrid machine learning methods for gully erosion susceptibility mapping: K-fold cross validation approach oleh Jagabandhu Roy, Sunil Saha

    Diterbitkan 2022-12-01
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  2. 2
    Landslide susceptibility mapping using knowledge driven statistical models in Darjeeling District, West Bengal, India

    Landslide susceptibility mapping using knowledge driven statistical models in Darjeeling District, West Bengal, India oleh Jagabandhu Roy, Sunil Saha

    Diterbitkan 2019-08-01
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  3. 3
    Estimation of the effectiveness of multi-criteria decision analysis and machine learning approaches for agricultural land capability in Gangarampur Subdivision, Eastern India

    Estimation of the effectiveness of multi-criteria decision analysis and machine learning approaches for agricultural land capability in Gangarampur Subdivision, Eastern India oleh Sunil Saha, Prolay Mondal

    Diterbitkan 2022-12-01
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  4. 4
    Integrating the artificial intelligence and hybrid machine learning algorithms for improving the accuracy of spatial prediction of landslide hazards in Kurseong Himalayan Region

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

    Diterbitkan 2022-12-01
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  5. 5
    Modelling agricultural land suitability for vegetable crops farming using RS and GIS in conjunction with bivariate techniques in the Uttar Dinajpur district of Eastern India

    Modelling agricultural land suitability for vegetable crops farming using RS and GIS in conjunction with bivariate techniques in the Uttar Dinajpur district of Eastern India oleh Debabrata Sarkar, Sunil Saha, Prolay Mondal

    Diterbitkan 2023-05-01
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  6. 6
    Assessing and mapping soil erosion risk zone in Ratlam District, central India

    Assessing and mapping soil erosion risk zone in Ratlam District, central India oleh Sunil Saha, Debabrata Sarkar, Prolay Mondal

    Diterbitkan 2022-12-01
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  7. 7
    Compiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India

    Compiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India oleh Debabrata Sarkar, Trishna Sarkar, Sunil Saha, Prolay Mondal

    Diterbitkan 2021-01-01
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  8. 8
    Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India

    Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India oleh Sunil Saha, Jagabandhu Roy, Alireza Arabameri, Thomas Blaschke, Dieu Tien Bui

    Diterbitkan 2020-02-01
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  9. 9
    Application of bivariate approaches for flood susceptibility mapping: a district level study in Eastern India

    Application of bivariate approaches for flood susceptibility mapping: a district level study in Eastern India oleh Madhurima Dutta, Sunil Saha, Nur Islam Saikh, Debabrata Sarkar, Prolay Mondal

    Diterbitkan 2023-01-01
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  10. 10
    Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya

    Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Hi... oleh Sunil Saha, Anik Saha, Tusar Kanti Hembram, Biswajeet Pradhan, Abdullah M. Alamri

    Diterbitkan 2020-05-01
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  11. 11
    Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran

    Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran oleh Alireza Arabameri, Sunil Saha, Jagabandhu Roy, Wei Chen, Thomas Blaschke, Dieu Tien Bui

    Diterbitkan 2020-02-01
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  12. 12
    Site suitability for Aromatic Rice cultivation by integrating Geo-spatial and Machine learning algorithms in Kaliyaganj C.D. block, India

    Site suitability for Aromatic Rice cultivation by integrating Geo-spatial and Machine learning algorithms in Kaliyaganj C.D. block, India oleh Debabrata Sarkar, Sunil Saha, Manab Maitra, B.Sc. in Geography, Prolay Mondal, Ph.D.

    Diterbitkan 2021-12-01
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  13. 13
    Integrating multilayer perceptron neural nets with hybrid ensemble classifiers for deforestation probability assessment in Eastern India

    Integrating multilayer perceptron neural nets with hybrid ensemble classifiers for deforestation probability assessment in Eastern India oleh Sunil Saha, Gopal Chandra Paul, Biswajeet Pradhan, Khairul Nizam Abdul Maulud, Abdullah M. Alamri

    Diterbitkan 2021-01-01
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  14. 14
    Robustness analysis of machine learning classifiers in predicting spatial gully erosion susceptibility with altered training samples

    Robustness analysis of machine learning classifiers in predicting spatial gully erosion susceptibility with altered training samples oleh Tusar Kanti Hembram, Sunil Saha, Biswajeet Pradhan, Khairul Nizam Abdul Maulud, Abdullah M. Alamri

    Diterbitkan 2021-01-01
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  15. 15
    Measuring landslide vulnerability status of Chukha, Bhutan using deep learning algorithms

    Measuring landslide vulnerability status of Chukha, Bhutan using deep learning algorithms oleh Sunil Saha, Raju Sarkar, Jagabandhu Roy, Tusar Kanti Hembram, Saroj Acharya, Gautam Thapa, Dowchu Drukpa

    Diterbitkan 2021-08-01
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  16. 16
    Geotechnical parameter assessment of sediment deposit: A case study in Pasakha, Bhutan

    Geotechnical parameter assessment of sediment deposit: A case study in Pasakha, Bhutan oleh Karma Tempa, Nimesh Chettri, Raju Sarkar, Sunil Saha, Lily Gurung, Tshering Dendup, Bhawani Shankar Nirola

    Diterbitkan 2021-01-01
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  17. 17
    Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran

    Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran oleh Alireza Arabameri, Sunil Saha, Kaustuv Mukherjee, Thomas Blaschke, Wei Chen, Phuong Thao Thi Ngo, Shahab S. Band

    Diterbitkan 2020-10-01
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  18. 18
    Spatial prediction of shallow landslide: application of novel rotational forest-based reduced error pruning tree

    Spatial prediction of shallow landslide: application of novel rotational forest-based reduced error pruning tree oleh Alireza Arabameri, M. Santosh, Sunil Saha, Omid Ghorbanzadeh, Jagabandhu Roy, John P. Tiefenbacher, Hossein Moayedi, Romulus Costache

    Diterbitkan 2021-01-01
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  19. 19
    Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data

    Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data oleh Shahab S. Band, Saeid Janizadeh, Sunil Saha, Kaustuv Mukherjee, Saeid Khosrobeigi Bozchaloei, Artemi Cerdà, Manouchehr Shokri, Amirhosein Mosavi

    Diterbitkan 2020-09-01
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  20. 20
    Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

    Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility oleh Alireza Arabameri, Omid Asadi Nalivan, Sunil Saha, Jagabandhu Roy, Biswajeet Pradhan, John P. Tiefenbacher, Phuong Thao Thi Ngo

    Diterbitkan 2020-06-01
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