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Integrating deep learning neural network and M5P with conventional statistical models for landslide susceptibility modelling.
- Published in:
- Bulletin of Engineering Geology & the Environment, 2024, v. 83, n. 1, p. 1, doi. 10.1007/s10064-023-03498-5
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- Article
Geo-Environmental Evaluation for Exploring Potential Soil Erosion Areas of Jainti River Basin Using AHP Model, Eastern India.
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- Universal Journal of Environmental Research & Technology, 2018, v. 7, n. 1, p. 38
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- Article
Identification of Soil Erosion Susceptible Areas in Hinglo River Basin, Eastern India Based on Geo-Statistics.
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- Universal Journal of Environmental Research & Technology, 2015, v. 5, n. 3, p. 152
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- Publication type:
- Article
Landslide susceptibility mapping using knowledge driven statistical models in Darjeeling District, West Bengal, India.
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- Geoenvironmental Disasters, 2019, v. 6, n. 1, p. N.PAG, doi. 10.1186/s40677-019-0126-8
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- Article
Use of information on pre-packaged foods among residents of an urban village of south Delhi, India.
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- National Medical Journal of India, 2018, v. 31, n. 4, p. 211, doi. 10.4103/0970-258x.258219
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- Article
Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 7, p. 2513, doi. 10.1007/s00477-023-02403-6
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- Article
Correction to: Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India.
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- 2022
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- Publication type:
- Correction Notice
Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region.
- Published in:
- Stochastic Environmental Research & Risk Assessment, 2022, v. 36, n. 10, p. 3597, doi. 10.1007/s00477-022-02212-3
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- Publication type:
- Article
Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India.
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- Stochastic Environmental Research & Risk Assessment, 2022, v. 36, n. 10, p. 3295, doi. 10.1007/s00477-022-02195-1
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- Article
Efficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India.
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- Stochastic Environmental Research & Risk Assessment, 2022, v. 36, n. 6, p. 1721, doi. 10.1007/s00477-021-02115-9
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- Article
Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modelling.
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- Stochastic Environmental Research & Risk Assessment, 2022, v. 36, n. 1, p. 201, doi. 10.1007/s00477-021-02036-7
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- Publication type:
- Article
Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM2.5): A study on Indo-Gangetic Plain (IGP) Cities, India.
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- Stochastic Environmental Research & Risk Assessment, 2021, v. 35, n. 6, p. 1301, doi. 10.1007/s00477-020-01905-x
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- Publication type:
- Article
Integrating the artificial intelligence and hybrid machine learning algorithms for improving the accuracy of spatial prediction of landslide hazards in Kurseong Himalayan Region.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 14, doi. 10.1016/j.aiig.2022.06.002
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- Article
Ensemble hybrid machine learning methods for gully erosion susceptibility mapping: K-fold cross validation approach.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 28, doi. 10.1016/j.aiig.2022.07.001
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- Article
Estimation of the effectiveness of multi-criteria decision analysis and machine learning approaches for agricultural land capability in Gangarampur Subdivision, Eastern India.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 179, doi. 10.1016/j.aiig.2022.12.003
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- Publication type:
- Article
Site suitability for Aromatic Rice cultivation by integrating Geo-spatial and Machine learning algorithms in Kaliyaganj C.D. block, India.
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- Artificial Intelligence in Geosciences, 2021, p. 179, doi. 10.1016/j.aiig.2022.03.001
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- Article
Manifesting deep learning algorithms for developing drought vulnerability index in monsoon climate dominant region of West Bengal, India.
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- Theoretical & Applied Climatology, 2023, v. 151, n. 1/2, p. 891, doi. 10.1007/s00704-022-04300-4
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- Publication type:
- Article
Application of statistical probabilistic methods in landslide susceptibility assessment in Kurseong and its surrounding area of Darjeeling Himalayan, India: RS-GIS approach.
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- Environment, Development & Sustainability, 2021, v. 23, n. 3, p. 4453, doi. 10.1007/s10668-020-00783-1
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- Publication type:
- Article
Prioritization of sub-watersheds for soil erosion based on morphometric attributes using fuzzy AHP and compound factor in Jainti River basin, Jharkhand, Eastern India.
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- Environment, Development & Sustainability, 2020, v. 22, n. 2, p. 1241, doi. 10.1007/s10668-018-0247-3
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- Publication type:
- Article
Modelling agricultural land suitability for vegetable crops farmingusing RS and GIS inconjunction with bivariate techniques in the Uttar Dinajpur district of Eastern India.
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- Green Technologies & Sustainability, 2023, v. 1, n. 2, p. 1, doi. 10.1016/j.grets.2023.100022
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- Article
Wildfire Risk Zone Mapping in Contrasting Climatic Conditions: An Approach Employing AHP and F-AHP Models.
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- Fire (2571-6255), 2023, v. 6, n. 2, p. 44, doi. 10.3390/fire6020044
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- Article
Modeling gully erosion susceptibility in Phuentsholing, Bhutan using deep learning and basic machine learning algorithms.
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- Environmental Earth Sciences, 2021, v. 80, n. 8, p. 1, doi. 10.1007/s12665-021-09599-2
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- Article
Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran.
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- Remote Sensing, 2020, v. 12, n. 20, p. 3423, doi. 10.3390/rs12203423
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- Article
Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility.
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- Remote Sensing, 2020, v. 12, n. 11, p. 1890, doi. 10.3390/rs12111890
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- Article
Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran.
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- Remote Sensing, 2020, v. 12, n. 3, p. 475, doi. 10.3390/rs12030475
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- Article
Application of Probabilistic and Machine Learning Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran.
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- Remote Sensing, 2019, v. 11, n. 24, p. 3015, doi. 10.3390/rs11243015
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- Article
A Novel Ensemble Approach for Landslide Susceptibility Mapping (LSM) in Darjeeling and Kalimpong Districts, West Bengal, India.
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- Remote Sensing, 2019, v. 11, n. 23, p. 2866, doi. 10.3390/rs11232866
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- Article
Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India.
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- Sensors (14248220), 2020, v. 20, n. 5, p. 1313, doi. 10.3390/s20051313
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- Article
Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 11, p. 3772, doi. 10.3390/app10113772
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- Article
Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping.
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- Water (20734441), 2021, v. 13, n. 19, p. 2664, doi. 10.3390/w13192664
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- Article
Measuring landslide vulnerability status of Chukha, Bhutan using deep learning algorithms.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-95978-5
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- Article
Impact of COVID-19 Induced Lockdown on Environmental Quality in Four Indian Megacities Using Landsat 8 OLI and TIRS-Derived Data and Mamdani Fuzzy Logic Modelling Approach.
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- Sustainability (2071-1050), 2020, v. 12, n. 13, p. 5464, doi. 10.3390/su12135464
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- Article
Measuring hazard-free improved shelter across the regions of India.
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- Natural Hazards, 2024, v. 120, n. 7, p. 6533, doi. 10.1007/s11069-024-06522-3
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- Article
Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps.
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- Land (2012), 2023, v. 12, n. 2, p. 468, doi. 10.3390/land12020468
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- Article
Inadequate awareness of cervical cancer and its prevention among young women of Delhi, India: public health policy implications.
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- International Journal of Adolescent Medicine & Health, 2022, v. 34, n. 1, p. 1, doi. 10.1515/ijamh-2019-0108
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- Publication type:
- Article
Correction to: Integrating the Particle Swarm Optimization (PSO) with machine learning methods for improving the accuracy of the landslide susceptibility model.
- Published in:
- Earth Science Informatics, 2023, v. 16, n. 3, p. 2987, doi. 10.1007/s12145-023-01030-7
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- Publication type:
- Article
Correction to: Integrating the Particle Swarm Optimization (PSO) with machine learning methods for improving the accuracy of the landslide susceptibility model.
- Published in:
- Earth Science Informatics, 2022, v. 15, n. 4, p. 2663, doi. 10.1007/s12145-022-00892-7
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- Publication type:
- Article
Integrating the Particle Swarm Optimization (PSO) with machine learning methods for improving the accuracy of the landslide susceptibility model.
- Published in:
- Earth Science Informatics, 2022, v. 15, n. 4, p. 2637, doi. 10.1007/s12145-022-00878-5
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- Publication type:
- Article
Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India.
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- Environmental Science & Pollution Research, 2024, v. 31, n. 41, p. 54295, doi. 10.1007/s11356-023-26984-5
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- Publication type:
- Article
Deep learning algorithms based landslide vulnerability modeling in highly landslide prone areas of Tamil Nadu, India.
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- Geosciences Journal, 2024, v. 28, n. 6, p. 1013, doi. 10.1007/s12303-024-0044-y
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- Article