Search Results - (( program implementation template algorithm ) OR ( java segmentation using algorithm ))

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  1. 1

    Moving detection using cellular neural network (CNN) by Prema Latha, Subramaniam

    Published 2008
    “…The templates are programmed in MATLAB. There are few rules in Cellular Neural Network that has to be implemented when programming the templates, such as the state equation, output equation, boundary condition and also the initial value. …”
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    Undergraduates Project Papers
  2. 2

    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
  3. 3
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    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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    Book
  5. 5

    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach by Ab. Malik, Rosely, Jamil S., Mohamed

    Published 2001
    “…The proposed technique concludes improved efficiency over the conventional method of commissioning the functional formula of the weights by exploiting the structural properties of the matrices appeared in the codification of the service load to a single pile problem as a quadratic zero-one optimization program. Those structural attributes are distinguished and described in terms of template-matrix contributions of the constraint functions of the quadratic optimization, to the weight-matrix asynchronous auto-associative neural net It is stated by using those templates, the weight matrix can be taken in intuitively. …”
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    Article
  6. 6
  7. 7

    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir by Amir, Nur Hazirah

    Published 2019
    “…The development model used for this project is Agile model development cycle. It implemented Supervised Learning algorithm with Bayes’ Theorem model for the calculation of mood prediction using Python programming language. …”
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    Thesis
  8. 8

    An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment by Thanin, Khairunnisa, Mashohor, Syamsiah, Al Faqheri, Wisam Salah

    Published 2009
    “…First, the algorithm to recognize the license plates is presented, by taking advantage of Matlab and C++ programming language benefits in order to increase system efficiency. …”
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    Conference or Workshop Item