Search Results - spatial estimation using non framework
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Integrating land use analysis with water demand estimation: a case study of Putrajaya, Malaysia
Published 2024“…The proposed framework combines population projections, estimations of water demand, and analyses of land use activities. …”
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Spatiotemporal dynamics and environmental drivers of fractional vegetation cover in a Semi-Arid region using machine learning
Published 2025“…This integrated framework underscores the utility of combining satellite-based FVC estimation with interpretable machine learning and spatial regression to identify ecologically vulnerable zones in data-scarce drylands. …”
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Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar
Published 2016“…Several methods have been developed in both spatial and frequency domains to deblur Gaussian and motion blurred images by using iterative methods to estimate the blur parameters. …”
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Steel strips surface classification and defect detection based on multiple integrated features and classification schemes
Published 2018“…The first framework uses Engineering Machined Textures (EMT) workpiece surface images produced using several machining processes. …”
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Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting
Published 2024“…Empirical heterogeneity within watersheds and limitations inherent to each estimation methodology pose challenges in effectively measuring and appraising hydrological statistical frameworks of spatial and temporal variables. …”
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Modelling Water Allocation for a Run-of-the-River Rice Irrigation Scheme Using GIS
Published 2006“…The “Detailed Scheme Information” module describes a new framework for creating generic graphical user interfaces with ArcObjects and VBA for database access of spatial and non-spatial data recorded in a geodatabase. …”
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MY-ALBEDO: an alternative baseline radiation network / Siti Aekbal Salleh … [et al.]
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Computed tomography and echocardiography image fusion technique for cardiac images
Published 2016“…The goal of this thesis is integrating detected features, segmentation result information, and intensity information from two mentioned images, into a non-rigid registration framework, and achieve a high quality spatial mapping. …”
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Evaluating AI-assisted motion tracking for knee rehabilitation: a comparative analysis of You Only Look Once version 8 (YOLOv8) and MediaPipe
Published 2025“…The objective of this study is to develop a non-invasive and low-cost motion tracking framework suitable for remote rehabilitation, aiming to improve patient monitoring and exercise compliance. …”
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Using genetic algorithms to optimise land use suitability
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