All Stories
- Digital mapping of soil-texture classes in Batifa, Kurdistan Region of Iraq, using machine-learning models
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- Uncertainty Quantification for MLP-Mixer Using Bayesian Deep Learning
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- Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq
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- Flood Susceptibility Mapping Using an Analytic Hierarchy Process Model Based on Remote Sensing and GIS Approaches in Akre District, Kurdistan Region, Iraq
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- Spatiotemporal Analysis of Land Surface Temperature and Vegetation Changes in Duhok District, Kurdistan Region, Iraq
- Vigorous 3D Angular Resection Model Using Levenberg – Marquardt Method
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- Environmental Degradation in Asia
- Assessment of Land Degradation Vulnerability Using GIS-Based Multicriteria Decision Analysis in Zakho District, Kurdistan Region of Iraq
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- Role of Effective Factors on Soil Erosion and Land Degradation: A Review
- A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges
- A GIS-based AHP Method for Groundwater Potential Zone Assessment: A Review
- Land degradation assessment using AHP and GIS-based modelling in Duhok District, Kurdistan Region, Iraq
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- Land Suitability Analysis for Identifying Industrial Zones in Duhok District, Kurdistan Region of Iraq
- Mapping Ecosystem Service: Challenges and Solutions
- Spatiotemporal Analysis of Vegetation Cover in Kurdistan Region-Iraq using MODIS Image Data
- Decolorization of Crystal Violet from Aqueous Solution Using Electrofenton Process
- Occurrence of Residual Organophosphorus Pesticides in soil of some Asian countries, Australia and Nigeria
- Spatiotemporal Analysis of Vegetation Cover and Its Response to Terrain and Climate Factors in Duhok Governorate, Kurdistan Region, Iraq
- Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning
- Land Use Land Cover Change in Zakho District, Kurdistan Region, Iraq: Past, Current and Future
- Bayesian networks for spatial learning: a workflow on using limited survey data for intelligent learning in spatial agent-based models
- Recent Researches in Earth and Environmental Sciences
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- Estimating and Mapping Aboveground Biomass of Natural Quercus Aegilops Using WorldView-3 Imagery
- Spatio-Temporal Estimation of Surface Water Area in Dohuk Governorate Using Remote Sensing & GIS
Article
- The Impact of Social Versus Individual Learning for Agents' Risk Perception During Epidemics
- Intelligent judgements over health risks in a spatial agent-based model
- Identifying and mapping tree species in urban areas
- Object based technique for delineating and mapping 15 tree species using VHR WorldView-2 imagery
- Improvement of Spatio-temporal Growth Estimates in Heterogeneous Forests Using Gaussian Bayesian Networks
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- Application of the Expectation Maximization Algorithm to Estimate Missing Values in Gaussian Bayesian Network Modeling for Forest Growth
- Improving Forest Growth Estimates Using a Bayesian Network Approach
- Bayesian Network Modeling for Improving Forest Growth Estimates
- Application of the EM-algorithm for Bayesian Network Modelling to Improve Forest Growth Estimates
