Search Results - (( developing spatial visualization algorithm ) OR ( data visualization using algorithm ))

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  1. 1
    The development of spatio-temporal data model for dynamic visualization of virtual geographical information system

    The development of spatio-temporal data model for dynamic visualization of virtual geographical information system by Mohd. Rahim, Mohd. Shafry, Daman, Daut

    Published 2006
    “…Result shows that the proposed data model is able to perform well with a visualization algorithm using linear interpolation and an improved TIN structure. …”
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  2. 2
    The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment

    The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment by Nanna Suryana, Herman

    Published 2007
    “…However, hyperspectral image systems produce large data sets that are not easily interpretable by visual analysis and therefore require automated processing algorithm. …”
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  3. 3
    Volumetric spatiotemporal data model

    Volumetric spatiotemporal data model by Mohd. Rahim, Mohd. Shafry, Mohamaed Shariff, Abdul Rashid, Alias, Mohammad Ashari

    Published 2007
    “…Volumetric is one type of spatial object in the VGIS, which is used to develop visualize 3D information. …”
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  4. 4
    EEG-based brain source localization using visual stimuli

    EEG-based brain source localization using visual stimuli by Jatoi, M.A., Kamel, N., Malik, A.S., Faye, I., Bornot, J.M., Begum, T.

    Published 2016
    “…In this research study, EEG data is collected by providing visual stimulus to healthy subjects. …”
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  5. 5
    Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images

    Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images by Maizul, Elly Nur Myaisara

    Published 2018
    “…The filtered resampled images, then undergone the unsupervised K-Means classification process to collectively separate each individual pixel corresponds to the spectral data. By spatial segmentation of K-Means algorithms, the cluster groups generated were carefully reviewed before proceeding to the final analysis. …”
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  6. 6
    Spatial analysis of infant mortality in Peninsular Malaysia over three decades using mixture models

    Spatial analysis of infant mortality in Peninsular Malaysia over three decades using mixture models by Nuzlinda Abdul Rahman, Abdul Aziz Jemain

    Published 2013
    “…Mixture models were used to find the number of optimum components/groups for infant mortality data for every district in Peninsular Malaysia. …”
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  7. 7
    MMS : mobile monitoring system using electrical capacitance tomography (ECT)

    MMS : mobile monitoring system using electrical capacitance tomography (ECT) by Abdul Rahim, Ruzairi, Chan, Kok Seong

    Published 2008
    “…The reconstruction image process in the PC was written using programming platform Visual Basic 6.0. The information obtained in the PC can be reconstructed using linear back projection algorithm. …”
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  8. 8
    Real time traceability module for halal logistic transportation using GPS and geofence technique

    Real time traceability module for halal logistic transportation using GPS and geofence technique by Mohamad, Maizatul Akma

    Published 2016
    “…The existing geofence technique was upgraded by integrating spatial, temporal and speed rule in the ray casting algorithm used for this technique. …”
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  9. 9
    Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia

    Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia by Ali, Y., Padmanabhan, E., Andriamihaja, S., Faisal, A.

    Published 2019
    “…Several models have been developed to visualize the pore network systems of carbonate rocks. …”
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  10. 10
    Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia

    Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia by Ali, Y., Padmanabhan, E., Andriamihaja, S., Faisal, A.

    Published 2019
    “…Several models have been developed to visualize the pore network systems of carbonate rocks. …”
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  11. 11
    Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh

    Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh by Sai , Chong Yeh

    Published 2020
    “…These methods present a robust system that enables fully automated identification and removal of artifacts from EEG signals, without the need of visual inspection or arbitrary thresholding. The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
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  12. 12
    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs

    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

    Published 2017
    “…In the past, MOD was mainly tackled using image registration, which discovers correspondences between consecutive frames using pair-wise grayscale spatial visual appearance matching under rigid and affine transformations. …”
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  13. 13
    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning

    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

    Published 2023
    “…Besides, this system was able to perform good data visualization in order to provide better user experience. …”
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  14. 14
    Content-based indexing of low resolution documents

    Content-based indexing of low resolution documents by Md Nor, Danial

    Published 2016
    “…A new algorithm that can be used with integrated visual signatures, especially in late fusion query was introduced. …”
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  15. 15
    Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins

    Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins by Sidek L.M., Basri H., Marufuzzaman M., Deros A.M., Osman S., Hassan F.A.

    Published 2024
    “…So, in this research, a real-time flood inundation map (FIM) is used to develop the ML-based visualization (ML_V) method to characterize the collected dataset. …”
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  16. 16
    3D solid buffering for 3D GIS

    3D solid buffering for 3D GIS by Chen, Tet Khuan, Abdul Rahman, Alias

    Published 2007
    “…The approach is verified by using simulated data sets and a commercial GIS package for visualization purposes. …”
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  17. 17
    Dynamic scene occlusion culling in architectural scenes based on dynamic bounding volume

    Dynamic scene occlusion culling in architectural scenes based on dynamic bounding volume by Paunoo @ Balu, Baldeve

    Published 2006
    “…This algorithm is implemented using portal occlusion culling and kD-tree, which is suitable for indoor and architectural scenes. …”
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  18. 18
    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System

    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

    Published 2008
    “…A digital planimetric view and topographic mapping of the floodplain was developed using the three-dimensional floodplain visualization approach through the integration of a digital terrain model. …”
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  19. 19
    Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques

    Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques by Muhadi, Nur 'Atirah

    Published 2022
    “…By integrating the estimated water level with a 3D model developed from LiDAR data, flood simulation was performed. …”
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  20. 20
    Numerical and binomial optimal samplings of arthropods of wet paddy ecosystem in Malaysia

    Numerical and binomial optimal samplings of arthropods of wet paddy ecosystem in Malaysia by Syed Hassan, Syed Tajuddin, Mohd Rashid, Mansor

    Published 1997
    “…As such, to ensure efficiency of assignments, OSS information is necessary for both numerical and binomial sampling. Data from visual inspection of 204 samples, with 40 hills of paddy plant per sample, were used to determine the OSS numerical and binomial sampling curves for each of the 22 categories of arthropods. …”
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