Search Results - (( developing sharing force algorithm ) OR ( java segmentation using algorithm ))

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  1. 1

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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    Thesis
  2. 2

    A microscopic swarm model simulation and fractal approach towards swarm agent behaviour by Widyarto, Setyawan, Abd. Latiff, Muhammad Shafie

    Published 2006
    “…A physical based microscopic agent simulation model has been developed. The developed microscopic agent simulation model is a physical force based model similar to the social force model with forward and repulsion forces as the main force driver. …”
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    Article
  3. 3

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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    Shared mental model as an enabler of Malaysia waqf land development by Ismail, Nur Azlin, Omar, Ismail, Abu Bakar, Mohamad Noor Ropiah, Suhaili, Nur Aqidah, Hussin, Rohayati

    Published 2017
    “…Purpose - This shared mental model (SMM) life story is lays on the first commercial waqf land development in Malaysia. …”
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    Conference or Workshop Item
  6. 6

    Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks by Kousha, Mohammad

    Published 2014
    “…But, partial joint processing translates in sparse channel matrices available at the central precoder entity and leads in the rank deficiency of channel correlation matrix in the zero forcing beamformer (ZFBF). A dynamic user-wise algorithm is proposed to resolve this problem. …”
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  7. 7

    Deep plant: A deep learning approach for plant classification / Lee Sue Han by Lee , Sue Han

    Published 2018
    “…Plant classification systems developed by computer vision researchers have helped botanists to recognize and identify unknown plant species more rapidly. …”
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    Thesis