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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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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
    “…Region growing segmentation and radial basis function algorithms are considered a powerful tool to minimize the mixed pixel classification error.…”
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  3. 3
    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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  4. 4
    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
    “…Therefore, this paper introduced an algorithm for predicting spatial variations in pore network. …”
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  5. 5
    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
    “…Therefore, this paper introduced an algorithm for predicting spatial variations in pore network. …”
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  6. 6
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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  7. 7
    3D solid buffering for 3D GIS

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

    Published 2007
    “…This paper presents a portion of the 3D spatial information problems, that is 3D solid buffering. …”
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  8. 8
    Improved self-organizing map clustering of power transformer dissolved gas analysis using inputs pre-processing

    Improved self-organizing map clustering of power transformer dissolved gas analysis using inputs pre-processing by Misbahulmunir S., Ramachandaramurthy V.K., Thayoob Y.H.M.D.

    Published 2023
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  9. 9
    Computed tomography and echocardiography image fusion technique for cardiac images

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

    Published 2016
    “…For evaluation, beside uncertainty estimation and visually evaluation by experts, quantitative and qualitative evaluations are conducted. …”
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  10. 10
    Spatial domain image steganography based on right most digit replacement and parity bit differencing / Mehdi Hussain

    Spatial domain image steganography based on right most digit replacement and parity bit differencing / Mehdi Hussain by Mehdi , Hussain

    Published 2017
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  11. 11
    Development of mapping methods for seagrass meadows in Malaysia by using landsat images

    Development of mapping methods for seagrass meadows in Malaysia by using landsat images by Hossain, Mohammad Shawkat

    Published 2015
    “…Coastline change was identified as the most significant factor that caused seagrass spatial cover loss of the Pengkalan Nangka lagoon. …”
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