Search Results - (( spatial information modeling algorithm ) OR ( java application optimization algorithm ))

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  1. 1

    Classification model for hotspot occurrences using spatial decision tree algorithm by Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin

    Published 2013
    “…As the ID3 algorithm that uses information gain in the attribute selection, the proposed algorithm uses spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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    Article
  2. 2

    Extended spatial decision tree algorithm for classifying hotspot occurrence by Sitanggang, Imas Sukaesih

    Published 2013
    “…The proposed algorithm uses spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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    Thesis
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    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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    Conference or Workshop Item
  5. 5

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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    Final Year Project
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    Reservoir water release dynamic decision model based on spatial temporal pattern by Suriyati, Abdul Mokhtar

    Published 2016
    “…Thus, this study proposed dynamic reservoir water release decision model that utilize both spatial and temporal information in the input pattern. …”
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    Thesis
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    Treemap algorithm for dynamic stormwater infiltration movement into soil surface by Siti Nurbaidzuri, Binti Reli @ Raily, Izham, Mohamad Yusoff, Habibah, Lateh, Muhamad Uznir, Ujang

    Published 2015
    “…This research applies tree algorithm to model a dynamic stormwater infiltration movement spatially that flow through the soil by additional z axis which represents the depth of the soil. …”
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    Proceeding
  10. 10

    Treemap algorithm for dynamic stormwater infiltration movement into soil surface by Reli, Siti Nurbaidzuri, Yusoff, Izham Mohamad, Lateh, Habibah, Ujang, Uznir

    Published 2015
    “…This research applies tree algorithm to model a dynamic stormwater infiltration movement spatially that flow through the soil by additional z axis which represents the depth of the soil. …”
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    Conference or Workshop Item
  11. 11

    Modeling and querying alternative paths in Kuantan by Mohamad Salleh, Mazlina

    Published 2007
    “…Spatial databases are prominently used in Geographic Information System (GIS) application like digital map application. …”
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    Thesis
  12. 12

    Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

    Published 2013
    “…The physical spatial field of interest is discretized and modeled by a Gaussian Markov random field (GMRF) with uncertain hyperparameters. …”
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    Article
  13. 13

    Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

    Published 2013
    “…The physical spatial field of interest is discretized and modeled by a Gaussian Markov random field (GMRF) with uncertain hyperparameters. …”
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    Article
  14. 14

    Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

    Published 2013
    “…The physical spatial field of interest is discretized and modeled by a Gaussian Markov random field (GMRF) with uncertain hyperparameters. …”
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    Article
  15. 15

    Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

    Published 2013
    “…The physical spatial field of interest is discretized and modeled by a Gaussian Markov random field (GMRF) with uncertain hyperparameters. …”
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    Article
  16. 16

    Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

    Published 2013
    “…The physical spatial field of interest is discretized and modeled by a Gaussian Markov random field (GMRF) with uncertain hyperparameters. …”
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    Article
  17. 17

    GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms by Tella, A., Balogun, A.-L.

    Published 2021
    “…Spatially processed data such as NDVI, SAVI, BU, LST, Ws, slope, elevation, and road density was used for the modelling. …”
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    Article
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    Towards a multispectral imaging system for spatial mapping of chemical composition in fresh-cut pineapple (Ananas comosus) by Mollazade, Kaveh, Hashim, Norhashila, Zude-Sasse, Manuela

    Published 2023
    “…Calibration models provided reliable responses spatially throughout the surface of fresh-cut pineapple slices with a constant error. …”
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    Article