Search Results - (( java application learning algorithm ) OR ( features extraction module algorithm ))

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  1. 1
    Handwriting recognition using webcam for data entry

    Handwriting recognition using webcam for data entry by Wong , Yoong Xiang

    Published 2014
    “…However, the testing were later enhanced with another feature extraction module, which consists of the combination of Character Vector Module, Kirsch Edge Detection Module, Alphabet Profile Feature Extraction Module, Modified Character Module and Image Compression Module. …”
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  2. 2
    Handwriting recognition using webcam for data entry

    Handwriting recognition using webcam for data entry by Xiang, W.Y., Sebastian, P.

    Published 2015
    “…However, the testing were later enhanced with another feature extraction module, which consists of the combination of Character Vector Module, Kirsch Edge Detection Module, Alphabet Profile Feature Extraction Module, Modified Character Module and Image Compression Module. …”
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  3. 3
    Biceps brachii surface EMG classification using neural networks

    Biceps brachii surface EMG classification using neural networks by Chong, Yee Lin

    Published 2012
    “…This platform consists of three modules; acquisition module, preprocessing module and feature extraction module. …”
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  4. 4
    Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules

    Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules by Wiliani, Ninuk

    Published 2023
    “…The objective of this research was to develop and analyse feature extraction used for classification techniques for defect detection of solar photovoltaic modules surfaces. …”
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  5. 5
    Application of image quality assessment module to motion-blurred wood images for wood species identification system

    Application of image quality assessment module to motion-blurred wood images for wood species identification system by Rajagopal, Heshalini, Khairuddin, Anis Salwa Mohd, Mokhtar, Norrima, Ahmad, Azlin, Yusof, Rubiyah

    Published 2019
    “…Then, a statistical feature extraction technique is proposed to extract 24 features from each wood image. …”
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  6. 6
    Building extraction of worldview3 imagery via support vector machine using scikit-learn module / Najihah Ismail

    Building extraction of worldview3 imagery via support vector machine using scikit-learn module / Najihah Ismail by Ismail, Najihah

    Published 2021
    “…Python is an open source of programming software that conducted programming-based technique using the Scikit-Learn module to do the extraction of building from Land used land cover (LULC) and the result was 86.233% for overall accuracy. …”
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  7. 7
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
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  8. 8
    Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection

    Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection by Sevamalai, Venantius Kumar

    Published 1998
    “…The feature extraction module was tested for its speed using various ROI sizes. …”
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  9. 9
    A combined face, fingerprint authentication system

    A combined face, fingerprint authentication system by Osman Ali, Amal Seralkhatem, Asirvadam , Vijanth Sagayan, Malik, Aamir Saeed, Rasheed, Waqas

    Published 2014
    “…As for the fingerprint module, a simple algorithm is employed for extracting fingers' Minutia in order to build feature vector for each sample fingerprint. …”
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  10. 10
    A combined face, fingerprint authentication system

    A combined face, fingerprint authentication system by Ali, A.S.O., Sagayan, V., Malik, A.S., Rasheed, W.

    Published 2014
    “…As for the fingerprint module, a simple algorithm is employed for extracting fingers' Minutia in order to build feature vector for each sample fingerprint. …”
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  11. 11
    Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel

    Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel by Usmani, U.A., Happonen, A., Watada, J.

    Published 2022
    “…We propose a clothing segmentation framework having novel feature extraction and fusion modules. The low-level feature data are extracted by the feature extraction module using Mask Region Convolutional Neural Network (RCNN) segmentation branches and Inception V3 used to extract the high-level semantic data. …”
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  12. 12
    Performance analysis for facial expression recognition under salt and pepper noise with median filter approach

    Performance analysis for facial expression recognition under salt and pepper noise with median filter approach by Idris, Azrini

    Published 2013
    “…Then filter is applied on the corrupted images with average and median filter. The second module constructs PCA that are responsible for feature extraction, while the third module extracts the features by processing the image and measuring dimensions of PCA using k-NN and NN. …”
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  13. 13
    Convolutional neural networks with feature fusion method for automatic modulation classification

    Convolutional neural networks with feature fusion method for automatic modulation classification by Elshebani, Mohamed Salem, Ali, Yahya, Azroug, Nser, Khalifa, Ramdan A. M., Khalifa, Othman Omran, Saeed, Rashid A.

    Published 2023
    “…However, most existing modulation classification algorithms are neglecting the fact of mixing features between different representations, and the importance of features fusion method. …”
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  14. 14
    Geometry based lip reading system using Multi Dimension Dynamic Time Warping

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

    Published 2012
    “…This paper describes an automatic lip reading system consisting of two main modules 1) a pre-processing module able to extract lip geometry information from the video sequence and 2) a classification module to identify the visual speech based on dynamic lip movements. …”
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  15. 15
    APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN

    APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN by SARI, YUNITA SARI

    Published 2011
    “…In our research, extraction pattern from the first module will be fed to this algorithm and is used to make the prediction of named entity candidate category. …”
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  16. 16
    Study of machine learning in computer vision using Raspberry Pi

    Study of machine learning in computer vision using Raspberry Pi by Chong, Kah Luo

    Published 2024
    text::Final Year Project
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  17. 17
    Development Of Vehicle Tracking And Counting System From Traffic Surveillance Video

    Development Of Vehicle Tracking And Counting System From Traffic Surveillance Video by Kueh , Chiung Lin

    Published 2015
    “…The objective of this project is to develop and implement tracking and counting feature into the existing vehicle detection and classification system, assess the vehicle detection and classification with tracking and counting feature system performances, and select the optimal parameters for tracking and counting module. …”
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  18. 18
    Data Entry using Handwriting Recognition Techniques

    Data Entry using Handwriting Recognition Techniques by Poo, Hwei Nee, Sebastian, Patrick, Yap, Vooi Voon

    Published 2007
    “…Images captured are processed to determine the region of interest (ROI) and to remove noise. Distinctive features from each character are extracted using the combination of five feature extraction modules. …”
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  19. 19
    An accurate infant cry classification system based on continuos hidden Markov model

    An accurate infant cry classification system based on continuos hidden Markov model by Abdulaziz Y., Ahmad S.M.S.

    Published 2023
    “…The classification system is trained based on Baum -Welch algorithm on a pair of local feature vectors. In this study, Mel Frequency Cepstral Coefficient (MFCC) and Linear Prediction Cepstral Coefficients (LPCC) are extracted from the audio samples of infant's cries and are fed into the classification module. …”
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  20. 20
    Content-based feature selection for music genre classification

    Content-based feature selection for music genre classification by Muda, Noor Azilah, Choo, Yun Huoy, Norashikin, Ahmad

    Published 2022
    “…Besides the selection process, two modules of Negative Selection Algorithm; censoring and monitoring are highlighted as well in this work. …”
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