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Group-based Decision Support for Flood Hazard Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach
Published 2013“…These results were further validated using the known Flood Extent Extraction Model developed based on a Minimum Distance Algorithm embedded in ENVI 4.8 software and the Consistency Ratio (CR). …”
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group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach
Published 2014“…These results were further validated using the known Flood Extent Extraction Model developed based on a Minimum Distance Algorithm embedded in ENVI 4.8 software and the Consistency Ratio (CR). …”
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Geospatial AI-based approach to assess the spatiotemporal suitability of onshore wind-solar farms in Iraq
Published 2023“…To overcome these challenges, the current research aims to develop a SpatioTemporal Decision-Making (STDM) model based on Geospatial Artificial Intelligence (GeoAI) to locate onshore wind-solar hybrid plants. …”
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Evaluation of land use land cover changes impacts on water quality at Nerus River using geospatial techniques / Noor Azzatul Najwa Azman
Published 2021“…Over the last 10 years, Nerus River was rapidly changing with new development and affect the water quality along the river. …”
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SVM-based geospatial prediction of soil erosion under static and dynamic conditioning factors
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Geospatial Based Application for Dam Planning and Monitoring in Malaysia: A Review
Published 2024Book chapter -
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Enhancing geographic coordinates representation standard for reverse geocoding web services
Published 2018“…Reverse-geocoding is Location Base Services (LBS) that supports mobile and web applications. …”
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Spatial Simulation for Flood Disaster Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach
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Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…The latest effort to solve this selection problem is the development of the metrics selection model that uses genetic algorithm (GA). …”
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Automatic filtering of far outliers in multibeam echo sounding dataset using robust detection algorithms
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Deep learning-based water segmentation for autonomous surface vessel
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Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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A review of Convolutional Neural Networks in Remote Sensing Image
Published 2019“…Recently, convolutional neural network based deep learning algorithm has achieved a series of breakthrough research results in the fields of objective detection, image semantic segmentation and image classification, etc. …”
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Developing dengue index through the integration of crowdsourcing approach (X-Waba)
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Google the earth: what's next?
Published 2010“…The scientific challenge is to develop retrieval algorithms that describe the physical measurement process in sufficient detail, yet are simple enough to allow robust inversion of the remotely sensed signals. …”
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