Search Results - (( quality classification using algorithm ) OR ( pattern extraction using algorithm ))

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  1. 1
    MINING CUSTOMER DATA FOR DECISION MAKING USING NEW HYBRID CLASSIFICATION ALGORITHM

    MINING CUSTOMER DATA FOR DECISION MAKING USING NEW HYBRID CLASSIFICATION ALGORITHM by Aurangzeb, khan, Baharum, Baharudin, Khairullah, khan

    Published 2011
    “…The experimental result shows that the proposed hybrid k-mean plus MFP algorithm can generate more useful pattern from large stock data.…”
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  2. 2
    Fingerprint classification : a BI-resolution approach to singular point extraction

    Fingerprint classification : a BI-resolution approach to singular point extraction by Leong, Chung Ern

    Published 2004
    “…Since the fingerprint is not segmented apriori, the algorithm makes use of the strength of the directional image as region of interest. …”
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  3. 3
    Design of intelligent Qira’at identification algorithm

    Design of intelligent Qira’at identification algorithm by Kamarudin, Noraziahtulhidayu

    Published 2017
    “…To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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  4. 4
    Acoustic echo cancellation using adaptive filter for Quranic accent signals

    Acoustic echo cancellation using adaptive filter for Quranic accent signals by Kamarudin, Noraziahtulhidayu, Al Haddad, Syed Abdul Rahman, Basiron, Azli, Hassan Azhari, Rauf

    Published 2024
    “…AP indicates 93.9% for all of the classification algorithm in used, while for LMS and RLS the results are differed varies on different pattern classification algorithm stated whereby with LMS and PPCA classification, 96.9 % for accuracy and 84.8% accuracy for LMS and KNN. …”
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  5. 5
    Improved building roof type classification using correlation-based feature selection and gain ratio algorithms

    Improved building roof type classification using correlation-based feature selection and gain ratio algorithms by Norman, M., Mohd Shafri, Helmi Zulhaidi, Pradhan, Biswajeet, Yusuf, B.

    Published 2017
    “…The classification results using SVM classifier produced an overall accuracy of 83.16%. …”
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  6. 6
    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
    “…The proposed system includes image acquisition, image quality assessment module (IQA), image deblurring, feature extraction and classification. …”
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  7. 7
    Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)

    Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN) by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

    Published 2011
    “…ANNs are particularly useful for complex pattern recognition and classification tasks. …”
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  8. 8
    Feature detector-level fusion methods in food recognition

    Feature detector-level fusion methods in food recognition by Razali @ Ghazali, Mohd Norhisham, Manshor, Noridayu

    Published 2019
    “…An automatic dietary pattern assessment via food recognition algorithm provide an alternative way to improve the overall quality of dietary pattern assessment. …”
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  9. 9
    Temporal study of urban growth and land surface temperature extraction: a study of the Klang Valley area / Illyani Ibrahim ... [et al.]

    Temporal study of urban growth and land surface temperature extraction: a study of the Klang Valley area / Illyani Ibrahim ... [et al.] by Ibrahim, Illyani, Abu Samah, Azizan, Fauzi, Rosmadi

    Published 2014
    “…This image was processed for appropriate atmospheric and geometric correction and the extraction of land surface temperature by using the model of the mono-window algorithm. …”
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  10. 10
    Temporal study of urban growth and land surface temperature extraction: a study of the Klang Valley area

    Temporal study of urban growth and land surface temperature extraction: a study of the Klang Valley area by Ibrahim, Illyani, Abu Samah, Azizan, Fauzi, Rosmadi

    Published 2014
    “…These images were processed for the correction of atmospheric and geometric. In addition, the extraction of land surface temperature was done by using the model of the mono-window algorithm. …”
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  11. 11
    Classification model for water quality using machine learning techniques

    Classification model for water quality using machine learning techniques by Azilawati, Rozaimee, Azrul Amri, Jamal, Azwa, Abdul Aziz

    Published 2015
    “…There is a need to resolve this problem for us to get good water that can be used for domestic purposes. This article proposes a suitable classification model for classifying water quality based on the machine learning algorithms. …”
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  12. 12
    Comparison of Logistic Regression, Random Forest, SVM, KNN Algorithm for Water Quality Classification Based on Contaminant Parameters

    Comparison of Logistic Regression, Random Forest, SVM, KNN Algorithm for Water Quality Classification Based on Contaminant Parameters by Teguh, Sutanto, Muhammad Rafli, Aditya, Haldi, Budiman, M.Rezqy, Noor Ridha, Usman, Syapotro, Noor, Azijah

    Published 2024
    “…This finding emphasizes that Stacking with Gradient Boosting provides much better performance in water quality classification compared to other models. This research provides new insights into the application of machine learning algorithms for water quality management as well as guidance for optimal algorithm selection.…”
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  13. 13
    Finger Vein Recognition Using Pattern Map As Feature Extraction

    Finger Vein Recognition Using Pattern Map As Feature Extraction by Teoh, Saw Beng

    Published 2012
    “…Algorithms such as Gabor Filter, Local Line Binary Pattern (LLBP) and Principal Component Analysis (PCA) have been proposed in recent study to extract finger vein features. …”
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  14. 14
    Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat

    Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat by Mohammad Ahmad, Jomah Tubishat

    Published 2019
    “…Our results from the conducted experiments revealed that the proposed algorithm outperform the state-of-the-art aspect extraction algorithms and optimization algorithms. …”
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  15. 15
    Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier

    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
    “…Classic local binary pattern (LBP) is one of the most useful feature extraction methods. …”
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  16. 16
    A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification

    A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification by Quteishat, A., Lim, C.P., Tan, K.S.

    Published 2010
    “…In this paper, a two-stage pattern classification and rule extraction system is proposed. …”
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  17. 17
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…Experimental results show that the developed methods and model are able to classify the Harumanis quality with accuracy of 79% using fuzzy classification based on shape and size.…”
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  18. 18
    Real-time power quality disturbance classification using convolutional neural networks

    Real-time power quality disturbance classification using convolutional neural networks by Husodo, Budi Yanto, Dalimi, Rinaldy, Ihsanto, Eko, Gunawan, Teddy Surya

    Published 2020
    “…Experimental results showed that the proposed algorithm produced a good result with the classification accuracy of 97.52% trained using 100 epochs. …”
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  19. 19
    Predicting hearing loss symptoms from Audiometry data using FP-Growth Algorithm and Bayesian Classifier

    Predicting hearing loss symptoms from Audiometry data using FP-Growth Algorithm and Bayesian Classifier by G. Noma, Nasir, Mohd Khanapi, Abd Ghani, Mohamad Khir , Abdullah, Noorizan , Yahya

    Published 2013
    “…FP-Growth (frequent pattern growth) algorithm was employed as a feature extraction technique. …”
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  20. 20
    Pattern discovery using k-means algorithm

    Pattern discovery using k-means algorithm by Ahmed, Almahdi Mohammed, Wan Ishak, Wan Hussain, Md Norwawi, Norita, Alkilany, Ahmed

    Published 2014
    “…This paper will discuss the results of a pattern extraction process using a clustering algorithm that is k-means. …”
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