Search Results - (( bubble detection system algorithm ) OR ( gender classification system algorithm ))*

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    Charge coupled device based on optical tomography system in detecting air bubbles in crystal clear water by Juliza Jamaludin, Rahim, RA, Rahim, HA, Rahiman, MHF, Muji, SZM, Rohani, JM

    Published 2024
    “…Experiments in detecting moving air bubbles are conducted. The images of captured data are reconstructed based on filtered image of Linear Back Projection with Hybrid algorithms. …”
    Article
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    A comprehensive comparative experiment of edge detection for OMR by Sahri, Zahriah, Othman, Zuraini, Kasmin, Fauziah, Basiron, Halizah

    Published 2022
    “…These captured images go through a few image processing steps to display the grades. Edge detection is one of the steps. This study compares different established edge detection algorithms to detect edges of interest in OMR answer sheets such as bubbles or rectangles containing the bubbles. …”
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    Article
  4. 4

    Gender classification based on asian faces using deep learning by Janahiraman T.V., Subramaniam P.

    Published 2023
    “…Face recognition; Human computer interaction; Image classification; Learning algorithms; Natural language processing systems; Neural networks; Speech recognition; Systems engineering; Convolutional neural network; Gender classification; Learning architectures; Learning frameworks; NAtural language processing; Recognition accuracy; Recognition process; TensorFlow; Deep learning…”
    Conference Paper
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    Embedded fuzzy classifier for detection and classification of preseizure state using real EEG data by Qidwai, U., Malik, A.S., Shakir, M.

    Published 2014
    “…Therefore, the work presented here includes embedded hardware system that works with classification algorithm on real EEG signals, in a ubiquitous setting. …”
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    Conference or Workshop Item
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    Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin by A. Jalil @ Zainuddin, Siti Zura

    Published 2014
    “…Multivariate analysis of variance (MANOVA) is employed to compare the differences of frequency radiation characteristics between genders. Then, the classification algorithm of A:-nearest neighbor (KNN) is employed to discriminate between genders, and between body segments. …”
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    Thesis
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    Embedded Fuzzy Classifier for Detection and Classification of Preseizure state using Real EEG data by Qidwai, Uvais, Malik, Aamir Saeed, Shakir, Mohamed

    Published 2014
    “…Therefore, the work presented here includes embedded hardware system that works with classification algorithm on real EEG signals, in a ubiquitous setting. …”
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    Book Section
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    3D Gluing Defect Inspection System Using Shape-Based Matching Application From Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Lim Wee, Teck, Mohd Kazim, Mohd Nor Fakhzan

    Published 2013
    “…This research is regarding the application of a vision algorithm to identify the operations of a system in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. …”
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    Article
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    Embedded Fuzzy Classifier for Detection and Classification of Preseizure State Using Real EEG Data by Qidwai, Uvais, Malik, Aamir Saeed, Shakir, Mohamed

    Published 2013
    “…Therefore, the work presented here includes embedded hardware system that works with classification algorithm on real EEG signals, in a ubiquitous setting. …”
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    Book Section
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    A 3D Gluing Defect Inspection System Using Shape-Based Matching Application from Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Mohamad Haniff , Harun, Lim , Wee Teck, Mohd Nor Fakhzan, Moha Kazim

    Published 2013
    “…This research is regarding the application of a vision algorithm to identify the operations of a system in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. …”
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    Article
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    Charge-coupled device based on optical tomography system in detecting solid and transparent objects in non-flowing crystal clear water by Juliza Jamaludin, Rahim, RA, Rahim, HBA, Rahiman, MHF, Rohani, JM, Muji, SZBM

    Published 2024
    “…Experiments in detecting static solid, transparent objects and moving air bubbles are conducted. …”
    Article
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    Development of gender and race recognition system using speech and recognition by using frequency spectrum by Ng Siew Fong

    Published 2009
    “…In this thesis, the development of an algorithm and system that is able to recognize gender and races by using the speech frequency spectrum is presented. …”
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    Learning Object
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    DEFECT INSPECTION SYSTEM FOR SHAPE-BASED MATCHING USING TWO CAMERAS by Sulaiman , Marizan, Shah, HNM, Harun, Mohd Hanif, Fakhzan, MN

    Published 2014
    “…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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    Article
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    Defect Inspection System for Shape-Based Matching Using Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Mohd Kazim, Mohd Nor Fakhzan

    Published 2014
    “…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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    Article
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    Development of Malay word pronunciation application using vowel recognition by Mohd Yusof, Shahrul Azmi

    Published 2016
    “…In Malaysia, many researchers focus on developing speaker independent systems for training or articulation therapy or to assist language learners to learn about Malay Language or Bahasa Malaysia.Accuracy, noise robustness and processing time are concerns when developing speech therapy systems.In this study, a Malay word pronunciation test application was developed using the first 3 format and fundamental frequencies in an effort to improve pronunciation in Malay.This application was developed using Matlab and uses a vowel recognition algorithm classified using MLP classification technique.The application was developed and tested on UUM undergraduate students.For vowel classification, when fundamental frequency was added, 3-format feature vowel classification rate increased by 1.55% for male gender and 1.48% for female. …”
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    Article