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Energy and exergy analysis of a PV module cooled by an active cooling approach

Journal of thermal analysis and calorimetry, 2020-09, Vol.141 (6), p.2475-2485

2020

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A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping

Catena (Giessen), 2019-08, Vol.179, p.184-196

2019

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Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods

The Science of the total environment, 2019-06, Vol.668, p.1038-1054

2019

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A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

The Science of the total environment, 2020-01, Vol.701, p.134413-134413, Article 134413

2020

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Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

Di xue qian yuan., 2021-03, Vol.12 (2), p.505-519

2021

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Ensemble approach to develop landslide susceptibility map in landslide dominated Sikkim Himalayan region, India

Environmental earth sciences, 2020-10, Vol.79 (20), Article 476

2020

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A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area

Journal of hydrology (Amsterdam), 2019-08, Vol.575, p.314-326

2019

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A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data

Sensors (Basel, Switzerland), 2018-10, Vol.18 (11), p.3704

2018

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A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data

Journal of hydrology (Amsterdam), 2021-05, Vol.596, p.125682, Article 125682

2021

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Electrical and thermal analyses of solar PV module by considering realistic working conditions

Journal of thermal analysis and calorimetry, 2021-06, Vol.144 (5), p.1925-1934

2021

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Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions

Remote sensing (Basel, Switzerland), 2019-12, Vol.11 (24), p.2995

2019

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Water-induced erosion potentiality and vulnerability assessment in Kangsabati river basin, eastern India

Environment, development and sustainability, 2022-03, Vol.24 (3), p.3518-3557

2022

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Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1890

2020

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A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (17), p.2688

2020

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A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping

Journal of environmental management, 2021-02, Vol.280, p.111858-111858, Article 111858

2021

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A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1373

2020

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Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India

The Science of the total environment, 2020-08, Vol.730, p.139197-139197, Article 139197

2020

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Analysis of Outbreak and Global Impacts of the COVID-19

Healthcare (Basel), 2020-05, Vol.8 (2), p.148

2020

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A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility

The Science of the total environment, 2020-07, Vol.726, p.138595-138595, Article 138595

2020

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Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation

Journal of environmental management, 2021-04, Vol.284, p.112067-112067, Article 112067

2021

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Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

Catena (Giessen), 2020-05, Vol.188, p.104458, Article 104458

2020

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Novel Ensembles of Deep Learning Neural Network and Statistical Learning for Flash-Flood Susceptibility Mapping

Water (Basel), 2020-06, Vol.12 (6), p.1549

2020

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Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran)

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.490

2020

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Applications of machine learning methods in modeling various types of heat pipes: a review

Journal of thermal analysis and calorimetry, 2021-12, Vol.146 (6), p.2333-2341

2021

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Energy and exergy analysis of a PV module cooled by an active cooling approach

A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping

Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

Ensemble approach to develop landslide susceptibility map in landslide dominated Sikkim Himalayan region, India

A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area

A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data

A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data

Electrical and thermal analyses of solar PV module by considering realistic working conditions

Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions

Water-induced erosion potentiality and vulnerability assessment in Kangsabati river basin, eastern India

Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping

A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping

A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data

Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India

Analysis of Outbreak and Global Impacts of the COVID-19

Forest Cover Change, Households’ Livelihoods, Trade-Offs, and Constraints Associated with Plantation Forests in Poor Upland-Rural Landscapes: Evidence from North Central Vietnam

A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility

Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation

Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

Novel Ensembles of Deep Learning Neural Network and Statistical Learning for Flash-Flood Susceptibility Mapping

Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran)

Applications of machine learning methods in modeling various types of heat pipes: a review

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