Showing 1 - 20 results of 22 for search 'INFORMATION FOR MANAGING RESOURCES', query time: 1.54s Refine Results
  1. 1
    A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
    Subjects: “...Geographic information science...”
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    Article
  2. 2
    GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
    Subjects: “...watershed management...”
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    Article
  3. 3
    Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
    “... and decision makers in the task of managing landslide prone areas....”
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    Article
  4. 4
    Author Correction: Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
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    Article
  5. 5
    Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538
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    Article
  6. 6
    Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and its Ensembles in a Semi-Arid Region of Iran
    “... by the Information Gain Ratio (IGR) technique. We assessed model performance with statistically based indexes...”
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    Article
  7. 7
    Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
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  8. 8
    Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm
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    Article
  9. 9
    New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
    “... for developing measures to mitigate flood damages and to sustainably manage floodplains....”
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    Article
  10. 10
    Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models
    “...Groundwater is an important natural resource in arid and semi-arid environments, where discharge...”
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    Article
  11. 11
    New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed
    “... promising technique for helping to better manage land in landslide-prone areas....”
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    Article
  12. 12
    Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
    “... be helpful for recognizing the landslide prone areas in future to better manage and decrease the damage...”
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    Article
  13. 13
    Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
    “...Mapping flood-prone areas is a key activity in flood disaster management. In this paper, we propose...”
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    Article
  14. 14
    A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
    “... promising tool to help planners, decision makers, managers, and governments in the management and planning...”
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    Article
  15. 15
    Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran
    “... information system (GIS) for estimating the social vulnerability to earthquakes in the Tabriz city, Iran...”
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    Article
  16. 16
    Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM<sup>+</sup> Images
    “... resources are the key factors in the declining water level of Lake Urmia. Furthermore, the current research...”
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    Article
  17. 17
    SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment
    “... information system, has been developed to assess seismic vulnerability by considering four groups of criteria...”
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    Article
  18. 18
    Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
    “... managers to reduce injury and damage. This paper contributes to this effort by comparing the power...”
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    Article
  19. 19
    A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
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  20. 20
    Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
    “... landslide predictive models that can be used by decision makers and land-use managers to mitigate landslide...”
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    Article
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