Search Results - (( developing spatial path algorithm ) OR ( java application stemming algorithm ))

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  1. 1

    A Novel Path Prediction Strategy for Tracking Intelligent Travelers by Motlagh, Omid Reza Esmaeili

    Published 2009
    “…This research aims to develop a novel path prediction system which could keep track of the traveler during temporary shortage of actual positioning data. …”
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    Thesis
  2. 2

    Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi by Ujang, Muhamad Uznir

    Published 2008
    “…Hereby, the Dijkstra’s algorithm is tested with the developed 3D navigation network inside the building model. …”
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    Thesis
  3. 3

    Imaging of solid flow in a gravity flow rig using infra-red tomography by Md. Yunus, Mohd. Amri

    Published 2005
    “…The software development involves data acquisition system, sensor modeling, image algorithms, and programming for a tomographic display to provide solids flow information in pipeline such as concentration and velocity profiles. …”
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    Thesis
  4. 4

    Performance analysis of pair-wise error probability for 1/3 and 1/4 subcarrier mapping ICI-SC scheme in STFBC MIMO-OFDM system / Norhayati Abdullah by Abdullah, Norhayati

    Published 2015
    “…ICI and maximum frequency diversity can also be achieved by manipulating the Space Time Frequency Block Codes (STFBCs) that uses spatial, time and frequency diversities which is implemented in the MIMO-OFDM system. …”
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    Thesis
  5. 5

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

    Published 2008
    “…A physical based, distributed hydrological model was developed to route overland flows during isolated HISD storms. …”
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    Thesis
  6. 6

    A hybrid environment control system combining EMG and SSVEP signal based on brain-computer interface technology by Rashid, Mamunur, Bari, Bifta Sama, Norizam, Sulaiman, Mahfuzah, Mustafa, Md Jahid, Hasan, Islam, Md Nahidul, Naziullah, Shekh

    Published 2021
    “…The feature in terms of the common spatial pattern (CSP) has been extracted from four classes of SSVEP response, and extracted feature has been classified using K-nearest neighbors (k-NN) based classification algorithm. …”
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    Article
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