Search Results - spatial estimation using ((integrated framework) OR (integrative framework))

Integrating land use analysis with water demand estimation: a case study of Putrajaya, Malaysia by Mohamad, Nur Diyana, Ash’aari, Zulfa Hanan, Kusin, Faradiella Mohd, Halim, Syafrina Abdul

“…The proposed framework combines population projections, estimations of water demand, and analyses of land use activities. …”
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GIS-MRA Techniques in Property Valuation: A Framework for Implementation by Mar Iman, Abdul Hamid

“…The awareness among valuers to improve valuation analyses has induced the use of Geographic Information System (GIS) as a spatial tool. …”
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A real-time framework for video Dehazing using bounded transmission and controlled Gaussian filter by Alajarmeh, A, Zaidan, AA

Steel strips surface classification and defect detection based on multiple integrated features and classification schemes by Ashour, Mohammed W. M.

“…The first framework uses Engineering Machined Textures (EMT) workpiece surface images produced using several machining processes. …”
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A real-time framework for video Dehazing using bounded transmission and controlled Gaussian filter by Alajarmeh A., Zaidan A.A.

A hybrid speech enhancement technique based on discrete wavelet transform and spectral subtraction by Iqbal, Yasir, Zhang, Tao, Gunawan, Teddy Surya, Pratondo, Agus, Zhao, Xin, Geng, Yanzhang, Kartiwi, Mira, Saleem, Nasir, Bourouis, Sami

“…This study introduces a novel hybrid speech enhancement framework that synergistically integrates Spectral Subtraction (SS) and Discrete Wavelet Transform (DWT) to address limitations of traditional noise reduction techniques. …”
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Estimation of the energy consumption of battery driven electric buses by integrating digital elevation and longitudinal dynamic models: Malaysia as a case study by Saadon Al-Ogaili A., Ramasamy A., Juhana Tengku Hashim T., Al-Masri A.N., Hoon Y., Neamah Jebur M., Verayiah R., Marsadek M.

Spatiotemporal dynamics and environmental drivers of fractional vegetation cover in a Semi-Arid region using machine learning by Anees, Shoaib Ahmad, Mehmood, Kaleem, Muhammad, Sultan, Luo, Mi, Shahzad, Fahad, Khan, Waseem Razzaq

“…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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GIS-based MCDA approach for FELDA land model development / Suzanah Abdullah ... [et al.] by Abdullah, Suzanah, Mokhtar, Salbiah, Abdul Rashid, Mohd Fadzil, Kamaruddin, Siti Mazwin, Kamar, Muhamad Asri Abdullah, Ali, Mohamad Azal Fikry

“…In this study, a framework for FELDA land development was applied using an integrated approach of GIS and MCDA techniques as well as UAV technology for data collecting. …”
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Modelling Water Allocation for a Run-of-the-River Rice Irrigation Scheme Using GIS by Kamal, Md. Rowshon

“…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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Computed tomography and echocardiography image fusion technique for cardiac images by Kalahroodi, Samaneh Mazaheri

“…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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Housing structure shapes dengue transmission dynamics in a rapidly urbanizing Malaysian district by Che Dom, Nazri, Shahrul Hisyam, Amni Nurhusna, Saeman, Muhammad Nabil, Abd Latib, Nurul Athirah, Ramli, Muhammad Imanudin, Mohamad Fisal, Zul Aizat, Mohd Yusoff, Nornasyuha, Osman, Mohd Azuraidi, Dapari, Rahmat, Salleh, Siti Aekbal

“…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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Using GIS and stakeholder involvement to innovate marine mammal bycatch risk assessment in data-limited fisheries by Gregory M., Verutes, Andrew F., Johnson, Marjolaine, Caillat, Louisa Shobhini, Ponnampalam, Cindy, Peter, Long, Vu, Chalatip, Junchompoo, Rebecca L., Lewison, Ellen M., Hines

“…ByRA leverages existing data on animal distributions, fisheries effort, and estimates of interaction rates by combining expert knowledge and spatial analyses of existing data to visualize and characterize bycatch risk. …”
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Moving objects database for GIS-based emergency response system by Habibi, Ridlwan

“…Moreover, the trajectory segment is used for querying past location estimation of moving objects. …”
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Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques by Muhadi, Nur 'Atirah

“…By integrating the estimated water level with a 3D model developed from LiDAR data, flood simulation was performed. …”
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Engaging in social interaction: relationships between the accessibility of path structure and intensity of passive social interaction in urban parks by Tahroodi, Faezeh Mohammadi, Ujang, Norsidah

“…It facilitates relief and rests from a stressful modern lifestyle that significantly impacts their mental health and well-being. The framework applied in this research integrates the social, spatial and physical aspects of parks design. …”
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Flood forecasting using semi-distributed hydrological model coupled with weather research and forecasting model by Zaidi, Syeda Maria

“…All the obtained results were validated against the observed rainfall data. HEC-HMS model integrated with ArcGIS was used estimate flood hydrographs. …”
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Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

“…The Erosion Potential Method (EPM) used in erosion estimation and sediment yield of the study. …”
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Uncertainty analysis of extreme hydrological events in the semi-arid Zayanderood Basin, central Iran by Mirzaei, Majid

“…The calibration scheme is carried out under the Generalized Likelihood Uncertainty Estimation (GLUE) framework to quantify uncertainty in the rainfall-runoff modelling process. …”
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