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Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms

Catena (Giessen), 2024-01, Vol.234, p.107581, Article 107581

2024

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Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata

Ecological informatics, 2021-05, Vol.62, p.101272, Article 101272

2021

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Bismuth induced Cu7Te4/Sb2Te3 nanocomposites for higher thermoelectric power factor and carrier properties

Journal of materials science. Materials in electronics, 2022-04, Vol.33 (11), p.8804-8814

2022

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Exploring physical wetland vulnerability of Atreyee river basin in India and Bangladesh using logistic regression and fuzzy logic approaches

Ecological indicators, 2019-03, Vol.98, p.251-265

2019

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Emerging conflict between agriculture extension and physical existence of wetland in post-dam period in Atreyee River basin of Indo-Bangladesh

Environment, development and sustainability, 2019-06, Vol.21 (3), p.1485-1505

2019

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Novel Ensemble Machine Learning Modeling Approach for Groundwater Potential Mapping in Parbhani District of Maharashtra, India

Water (Basel), 2023-02, Vol.15 (3), p.419

2023

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Exploring drainage/relief-scape sub-units in Atreyee river basin of India and Bangladesh

Spatial Information Research, 2017, 25(5), 98, pp.685-692

2017

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Impact of river flow modification on wetland hydrological and morphological characters

Environmental science and pollution research international, 2022-10, Vol.29 (50), p.75769-75789

2022

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Identifying dam-induced wetland changes using an inundation frequency approach: The case of the Atreyee River basin of Indo-Bangladesh

Ecohydrology & Hydrobiology, 2018-01, Vol.18 (1), p.66-81

2018

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Exploring the forms of wetland modifications and investigating the causes in lower Atreyee river floodplain area

Ecological informatics, 2022-03, Vol.67, p.101494, Article 101494

2022

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How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region

Journal of environmental management, 2021-11, Vol.297, p.113344-113344, Article 113344

2021

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Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models

Di xue qian yuan., 2021-09, Vol.12 (5), p.101175, Article 101175

2021

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Analyzing trend and forecasting of temperature and rainfall in Shimla district of Himachal Pradesh, India using non-parametric and bagging REPTree machine learning approaches

Journal of atmospheric and solar-terrestrial physics, 2024-12, Vol.265, p.106352, Article 106352

2024

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Analyzing and forecasting climate variability in Nainital district, India using non-parametric methods and ensemble machine learning algorithms

Theoretical and applied climatology, 2024-06, Vol.155 (6), p.4749-4765

2024

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Morphometric parameters based prioritization of watersheds for soil erosion risk in Upper Jhelum Sub-catchment, India

Environmental monitoring and assessment, 2024-01, Vol.196 (1), p.82-82, Article 82

2024

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Vulnerability assessment of forest ecosystem based on exposure, sensitivity and adaptive capacity in the Valmiki Tiger Reserve, India: A geospatial analysis

Ecological informatics, 2024-05, Vol.80, p.102494, Article 102494

2024

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Integrating remote sensing with swarm intelligence and artificial intelligence for modelling wetland habitat vulnerability in pursuance of damming

Ecological informatics, 2021-09, Vol.64, p.101349, Article 101349

2021

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Assessment of Habitat Suitability and Potential Corridors for Bengal Tiger (Panthera tigris tigris) in Valmiki Tiger Reserve, India, Using MaxEnt Model and Least-Cost Modeling Approach

Environmental modeling & assessment, 2024-04, Vol.29 (2), p.405-422

2024

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Measuring the effect of hydrological insecurity on landscape and ecological condition of floodplain wetland

Environment, development and sustainability, 2024-07

2024

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Effects of lockdown due to COVID-19 outbreak on air quality and anthropogenic heat in an industrial belt of India

Journal of cleaner production, 2021-05, Vol.297, p.126674-126674, Article 126674

2021

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Combining logistic regression-based hybrid optimized machine learning algorithms with sensitivity analysis to achieve robust landslide susceptibility mapping

Geocarto international, 2022-12, Vol.37 (25), p.9518-9543

2022

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Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis: Evidence from Shimla district of North-west Indian Himalayan region

Journal of mountain science, 2024-07, Vol.21 (7), p.2368-2393

2024

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Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia

Environmental science and pollution research international, 2022, Vol.29 (3), p.3743-3762

2022

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Trend analysis and forecasting of meteorological variables in the lower Thoubal river watershed, India using non-parametrical approach and machine learning models

Modeling earth systems and environment, 2024-02, Vol.10 (1), p.551-577

2024

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Evolution of rills and gullies in lateritic badland region of Indian Rarh tract

Journal of Earth System Science, 2023-01, Vol.132 (1), p.7, Article 7

2023

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Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms

Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata

Bismuth induced Cu7Te4/Sb2Te3 nanocomposites for higher thermoelectric power factor and carrier properties

Exploring physical wetland vulnerability of Atreyee river basin in India and Bangladesh using logistic regression and fuzzy logic approaches

Emerging conflict between agriculture extension and physical existence of wetland in post-dam period in Atreyee River basin of Indo-Bangladesh

Novel Ensemble Machine Learning Modeling Approach for Groundwater Potential Mapping in Parbhani District of Maharashtra, India

Exploring drainage/relief-scape sub-units in Atreyee river basin of India and Bangladesh

Impact of river flow modification on wetland hydrological and morphological characters

Identifying dam-induced wetland changes using an inundation frequency approach: The case of the Atreyee River basin of Indo-Bangladesh

Exploring the forms of wetland modifications and investigating the causes in lower Atreyee river floodplain area

How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region

Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models

Analyzing trend and forecasting of temperature and rainfall in Shimla district of Himachal Pradesh, India using non-parametric and bagging REPTree machine learning approaches

Analyzing and forecasting climate variability in Nainital district, India using non-parametric methods and ensemble machine learning algorithms

Morphometric parameters based prioritization of watersheds for soil erosion risk in Upper Jhelum Sub-catchment, India

Vulnerability assessment of forest ecosystem based on exposure, sensitivity and adaptive capacity in the Valmiki Tiger Reserve, India: A geospatial analysis

Integrating remote sensing with swarm intelligence and artificial intelligence for modelling wetland habitat vulnerability in pursuance of damming

Assessment of Habitat Suitability and Potential Corridors for Bengal Tiger (Panthera tigris tigris) in Valmiki Tiger Reserve, India, Using MaxEnt Model and Least-Cost Modeling Approach

Measuring the effect of hydrological insecurity on landscape and ecological condition of floodplain wetland

Effects of lockdown due to COVID-19 outbreak on air quality and anthropogenic heat in an industrial belt of India

Combining logistic regression-based hybrid optimized machine learning algorithms with sensitivity analysis to achieve robust landslide susceptibility mapping

Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis: Evidence from Shimla district of North-west Indian Himalayan region

Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia

Trend analysis and forecasting of meteorological variables in the lower Thoubal river watershed, India using non-parametrical approach and machine learning models

Evolution of rills and gullies in lateritic badland region of Indian Rarh tract

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