Search Results - spatial information flow integrative framework
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The integration of 3D GIS and virtual technology in the design and development of GIS-based residential property marketing information / Siti Aekbal Salleh
Published 2008“…Geographical Information System (GIS) technology has transpired to cater the growing need of spatial data handling analysis. …”
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Geoflood Information Visualisor (GFIV) / Nor Aizam Adnan … [et al.]
Published 2014“…The most affected land use activity is agricultural activity which mainly affects the rubber plantation. The integration techniques between hydraulic modelling and geospatial data preparation and analysis were able to provide insightful framework for better flooding understanding and information in spatially manner. …”
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Immersive Technologies in Museums: A Scoping Review of Cognitive Outcomes Related to Visitor Attention, Engagement, and Learning
Published 2025“…The findings reveal that immersive technologies significantly enhance visual and auditory attention, emotional and cognitive engagement, and memory retention, especially when grounded in cognitive frameworks such as Flow Theory, Cognitive Load Theory, and Dual-Coding Theory. …”
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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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Privacy-preserving U-Net variants with pseudo-labeling for radiolucent lesion segmentation in dental CBCT
Published 2025“…To safeguard sensitive information, Differential Privacy Stochastic Gradient Descent (DP-SGD) is integrated using TensorFlow-Privacy, achieving a privacy budget of ε ≈ 1.5 with minimal performance degradation. …”
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Flood forecasting using semi-distributed hydrological model coupled with weather research and forecasting model
Published 2019“…From the overall analysis, the study has determined that WRF model can be applied as the best alternative meteorological input to be used for sparse rainfall gauge areas or areas where rainfall observation stations fail to function. Hence the model framework is significant in providing reliable information on flood forecasting by considering about average percentage error of about ±16% to ±25% flow discharge values.…”
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