Search Results - spatial estimation ((using factor) OR (using vector)) framework
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1
Moving objects database for GIS-based emergency response system
Published 2010“…Moreover, the trajectory segment is used for querying past location estimation of moving objects. …”
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Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar
Published 2016“…These feature vectors along with ELM are used in estimating 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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Development of geospatial model for tuberculosis prediction in Gombak, Selangor, Malaysia
Published 2021“…Ordinary least squares (OLS) and geographically weighted regression (GWR) models were used to determine the spatial association of sociodemographic and environmental factors with the TB cases. …”
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5
Spatiotemporal evolution patterns of the coupling of carbon productivity and high-quality economic development in China
Published 2025“…This study examines the spatiotemporal evolution of the coordinated development between carbon productivity (CP) and high-quality economic development (HQED) across 30 provinces in China from 2008 to 2021. Using the entropy weight method, coupling coordination degree (CCD), kernel density estimation, spatial autocorrelation analysis, and spatial econometric models, the research identifies several key findings: first, a coupling and coordination relationship characterized by mutual influence and restraint exists between carbon productivity and high-quality economic development. …”
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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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A theoretical framework of considering urban green spaces as a factor determining house price in Kuala Lumpur
Published 2014“…As there are mixed evidences on the existence of relationship between green spaces and house price, the literatures present that the relationship can be proved through statistical and spatial analysis. Thus, this paper mainly focuses on the theoretical framework of considering green spaces as a factor determining house price in Kuala Lumpur. …”
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Housing structure shapes dengue transmission dynamics in a rapidly urbanizing Malaysian district
Published 2026“…Temporal trends were examined using weekly epidemic curves, proportional contributions were calculated for each housing category, and spatial clustering was assessed using Kernel Density Estimation (KDE) in ArcGIS Pro. …”
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Evaluation of groundwater recharge based on rainfall and land use changes
Published 2020“…The results emphasize the importance and prospects of using accurate spatial input data for the physically based SWAT model. …”
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11
Evaluation of groundwater recharge based on climate change: a case study at Baung’s watershed, Kota Bharu, Kelantan
Published 2020“…The results emphasize the importance and prospects of using accurate spatial input data for the physically based SWAT model. …”
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Rekonstruksi tamadun Islam berasaskan konsepsi dan missi al-wasatiyyah dirantau Asean dan peranan institusi pendidikan tinggi Islam
Published 2015“…As there are mixed evidences on the existence of relationship between green spaces and house price, the literatures present that the relationship can be proved through statistical and spatial analysis. Thus, this paper mainly focuses on the theoretical framework of considering green spaces as a factor determining house price in Kuala Lumpur. …”
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13
Evaluation of groundwater recharge based on climate change: a case study at Baung’s Watershed, Kota Bharu, Kelantan
Published 2020“…The results emphasize the importance and prospects of using accurate spatial input data for the physically based SWAT model. …”
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Flood forecasting using semi-distributed hydrological model coupled with weather research and forecasting model
Published 2019“…HEC-HMS model integrated with ArcGIS was used estimate flood hydrographs. Statistical indices include Percentage Error (PE), Nash-Sutcliff Efficiency (NSE), Root Mean Square Error (RMSE), Hit Rate (HR), False Alarm Ratio (FAR), Proportion of Correction (PC), Threat Score (TS) and Bias (B) were applied to evaluate the model performances. …”
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