Showing 1 - 20 results of 20 for search 'INFORMATION FOR MANAGING RESOURCES', query time: 0.88s Refine Results
  1. 1
    GIS Multi-Criteria Analysis by Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy
    “... analysis (MCDA) process. The combination of geographic information system (GIS) and a modified version...”
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    Article
  2. 2
    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
  3. 3
    Habitat Mapping of the Leopard Cat (Prionailurus bengalensis) in South Korea Using GIS
    by Moung-Jin Lee, Wonkyong Song, Saro Lee
    Published 2015-04-01
    Subjects: “...geographic information system...”
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    Article
  4. 4
    GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
    Subjects: “...watershed management...”
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    Article
  5. 5
    Habitat Potential Mapping of Marten (Martes flavigula) and Leopard Cat (Prionailurus bengalensis) in South Korea Using Artificial Neural Network Machine Learning
    by Saro Lee, Sunmin Lee, Wonkyong Song, Moung-Jin Lee
    Published 2017-09-01
    “... Union for Conservation of Nature, which means that they need to be managed properly. Various factors...”
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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
    An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping
    “... absence (non-occurrence) samples. In this study, an automated, user-friendly geographic information system...”
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    Article
  8. 8
    Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model
    “... in the catchment is necessary for improved flood management and decision making. The main objective of this study...”
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    Article
  9. 9
    Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm
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  10. 10
    Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility
    “... for the sustainability of land resources. This problem is more vulnerable in the arid and semi-arid environment...”
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    Article
  11. 11
    Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran)
    “... the Iranian Department of Water Resources Management for 89 locations with high yield potential values &#8805...”
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    Article
  12. 12
    Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine
    “.... This article aids the decision makers in better planning for flood resilience and risk management....”
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    Article
  13. 13
    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
  14. 14
    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
  15. 15
    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
  16. 16
    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
  17. 17
    Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea
    “... given area and could be useful for policymakers aiming to manage water resources in the future....”
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    Article
  18. 18
    Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea
    “... metropolitan area, for which random-forest and boosted-tree models are used in a geographic information system...”
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    Article
  19. 19
    Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility
    “... management practices. Due to the nature of data instability, the weakness of the classifier andthe ability...”
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    Article
  20. 20
    Susceptibility Mapping on Urban Landslides Using Deep Learning Approaches in Mt. Umyeon
    by Sunmin Lee, Won-Kyung Baek, Hyung-Sup Jung, Saro Lee
    Published 2020-11-01
    “..., indicating excellent predictive ability of the models developed in this study. The information of landslides...”
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    Article
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