Search Results - (( new evaluation system algorithm ) OR ( image classification system algorithm ))*

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  1. 1

    A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim by Ibrahim, Shafaf

    Published 2015
    “…Thus, the involvement of information technology is highly demanded in introducing reliable, simple and accurate computer systems. This study presents an algorithm for nosologic segmentation of primary brain tumors on Magnetic Resonance Imaging (MRI) brain images. …”
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    Thesis
  2. 2

    Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier by Siow, Shien Loong

    Published 2018
    “…There are two stages in the proposed classification system. Firstly, the 1D-LBP algorithm is used to extract the features of the normalized iris images and save the data in a text file according to the subject and the combinations to evaluate for the next stage. …”
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    Monograph
  3. 3

    A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption by Nurnajmin Qasrina Ann, Ayop Azmi

    Published 2023
    “…The first research objective is to develop a new deep learning algorithm by a hybrid of DNN and K-Means Clustering algorithms for estimating the Lorenz chaotic system. …”
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    Thesis
  4. 4

    Automated plant classification system using a hybrid of shape and color features of the leaf by Hamid, Laith Emad

    Published 2016
    “…An Automated Plant Classification System (APCS) is introduced in this thesis to overcome the aforementioned limitations by proposing an automated alignment algorithm to eliminate the need for human intervention to align the leaf. …”
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    Thesis
  5. 5
  6. 6

    Deep learning-based item classification for retail automation by Ling, Ji Xiang

    Published 2025
    “…Real-time processing was achieved through the integration of object detection algorithms like YOLO and image segmentation techniques. …”
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    Final Year Project / Dissertation / Thesis
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    Medical data classification using similarity measure of fuzzy soft set based distance measure by Lashari, Saima Anwar, Ibrahim, Rosziati, Senan, Norhalina

    Published 2017
    “…This paper assesses the performance of a new classification algorithm using similarity measure fuzzy soft set based distance based for numerical medical datasets. …”
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    Article
  9. 9

    A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem by Mohd Pozi, Muhammad Syafiq

    Published 2016
    “…There are two methods in dealing with imbalanced classification problem, which are based on data or algorithmic level. …”
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    Thesis
  10. 10

    Introducing new statistical shape based and texture feature extraction methods in the plant species recognition system by Seyed Mohammad Hussein, Ahmad, Siti Anom, Hassan, Mohd Khair, Ishak, Asnor Juraiza

    Published 2013
    “…The results show the outperformance of the two proposed methods for image processing and optimized classifier for classification part. …”
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    Article
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    Automated leaf alignment and partial shape feature extraction for plant leaf classification by Hamid, Laith Emad, Syed Mohamed, Syed Abdul Rahman Al-Haddad

    Published 2019
    “…The well-known Flavia dataset has been selected for the evaluation of the proposed system. The experimental results indicate the ability of the proposed alignment algorithm to align leaves with different shapes and maintain a correct classification accuracy regardless of the orientation of the input leaf samples. …”
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    Article
  14. 14

    Customer analysis with machine vision by Tiong, Wei Jie

    Published 2023
    “…When the customer passes through a counting line drawn by the system, customer counting occurs, and the system will crop their faces for facial recognition and gender classification. …”
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    Final Year Project / Dissertation / Thesis
  15. 15

    Malay festive seasons food recognition for calorie detection / Nurul Hafiza Basiruddin by Basiruddin, Nurul Hafiza

    Published 2021
    “…The reliability and effectiveness of the classifier are evaluated through system testing where the total overall percentage of correct recognition performed by the system is 82.5% according to the correct and wrong recognition obtained. …”
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    Thesis
  16. 16

    Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine by Raad Ali, Rabei

    Published 2019
    “…In this research, a new carving framework is presented in order to address the fragmentation issues that often occur in JPEG images which is called RX_myKarve. …”
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    Thesis
  17. 17

    Geometry based lip reading system using Multi Dimension Dynamic Time Warping by M. Z., Ibrahim, Mulvaney, D. J.

    Published 2012
    “…Experiments show that the proposed system is capable of a recognition performance of 68% just using lip height, lip width and the ratio of these features demonstrating that the system has the potential to be incorporated in a multimodal speech recognition system for use in noisy environments.…”
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    Conference or Workshop Item
  18. 18

    Postal address handwritten recognition using convolutional neural network / Nur Hasyimah Abd Aziz by Abd Aziz, Nur Hasyimah

    Published 2020
    “…Functionality test was done in order to evaluate the system. The result of the functionality test is most of the user are satisfy with the system. …”
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    Thesis
  19. 19

    A hierarchical deep convolutional neural network for asphalt pavement crack detection and classification / Nor Aizam Muhamed Yusof by Muhamed Yusof, Nor Aizam

    Published 2021
    “…The CrackLabel utilises a special design image thresholding algorithm known as Global and Lower Quartile Average Intensity (GLQAI). …”
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    Thesis
  20. 20

    A rule-based segmentation method for fruit images under natural illumination by Hambali, Hamirul ’Aini, Jamil, Nursuriati, Syed Abdullah, Sharifah Lailee, Harun, Hazaruddin

    Published 2014
    “…Image segmentation is a process that significantly important for machine vision system such as automatic fruit grading system.This process separates an image into several areas to extract the interest object from its background.However, the segmentation task is difficult for isolating the images that captured in outdoor environment. …”
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    Conference or Workshop Item