Search Results - (( pattern using algorithmic ) OR ( patterns stemming algorithm ))*

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  1. 1
    Automatic document clustering and indexing of multiple documents using KNMF for feature extraction through Hadoop and lucene on big data

    Automatic document clustering and indexing of multiple documents using KNMF for feature extraction through Hadoop and lucene on big data by Laxmi Lydia E., Sharmili N., Nguyen P.T., Hashim W., Maseleno A.

    Published 2023
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  2. 2
    Classification of herbs plant diseases via hierarchical dynamic artificial neural network

    Classification of herbs plant diseases via hierarchical dynamic artificial neural network by Abdullah, Lili Nurliyana, Khalid, Fatimah, Borhan, N.M.

    Published 2010
    “…The usefulness of each of these features will depend on the particular patterns to be highlighted in the image. …”
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  3. 3
    Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms

    Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms by Liaghat, Shohreh, Ehsani, Reza, Mansor, Shattri, Mohd Shafri, Helmi Zulhaidi, Meon, Sariah, Sankaran, Sindhuja, Azam, Siti H. M. N.

    Published 2014
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  4. 4
    Classification of herbs plant diseases via hierachical dynamic artificial neural network after image removal using kernel regression framework

    Classification of herbs plant diseases via hierachical dynamic artificial neural network after image removal using kernel regression framework by Abdullah, Lili Nurliyana, Khalid, Fatimah, Borhan, N.M.

    Published 2011
    “…The usefulness of each of these features will depend on the particular patterns to be highlighted in the image. …”
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  5. 5
    E-nose for basal stem rot detection

    E-nose for basal stem rot detection by Ali Yeon, Md Shakaff, Prof. Dr., Mazlee Noor, Ahmad. Dr., Marni Azira, Markom, Abdul Hamid, Adom, Wahyu, Hidayat, Abu Hassan, Abdullah, N., Ahmad Fikri

    Published 2010
    “…An e-nose consists of an array of sensors, signal collecting unit(s) and suitable pattern recognition algorithm.…”
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  6. 6
    Feasibility study of utilising electronic nose to detect BSR disease in oil palm plantation

    Feasibility study of utilising electronic nose to detect BSR disease in oil palm plantation by Marni Azira, Markom

    Published 2010
    “…A commercial electronic nose, Cyranose 320, was used as the front-end sensors with artificial neural networks trained using Levenberg-Marquardt algorithm employed for decision making. …”
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  7. 7
    FT-IR absorbance data for early detection of oil palm fungal disease infestation

    FT-IR absorbance data for early detection of oil palm fungal disease infestation by Liaghat, Shohreh, Mansor, Shattri, Mohd Shafri, Helmi Zulhaidi, Meon, Sariah, Ehsani, Reza, Md Nor Azam, Siti Hajar

    Published 2012
    “…The selected principal component (PC) scores were used as input features in quadratic discriminant analysis (QDA) as a pattern recognition algorithm. …”
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  8. 8
    Prospects for basal stem rot disease based on soil apparent electrical conductivity in oil palm plantation

    Prospects for basal stem rot disease based on soil apparent electrical conductivity in oil palm plantation by Mohd Husin, Ezrin

    Published 2020
    “…Furthermore, the software was developed by using MATLAB to produce a predicted BSR map in oil palm plantation based on the developed algorithm. …”
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  9. 9
    Modified word representation vector based scalar weight for contextual text classification

    Modified word representation vector based scalar weight for contextual text classification by Abbas Saliimi, Lokman

    Published 2024
    “…To bridge this gap, a five-phase research methodology is structured to propose and evaluate an algorithm enabling the external modification of LLM-generated word vectors using scalar values as the focus weightage. …”
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  10. 10
    Qur'anic words stemming

    Qur'anic words stemming by Raja Yusof, Raja Jamilah, Zainuddin, R., Baba, Mohd Sapiyan, Yusoff, Z.M.

    Published 2010
    “…The accuracy of the results was comparable to other stemming engines such as the Khoja stemmer, Buckwalter Morphological Analyzer (BAMA), Tri-literal Root Extraction (TRE) algorithm, and Voting algorithm.…”
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  11. 11
    Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making

    Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making by Zun, Liang Chuan, Nursultan Japashov, Soon, Kien Yuan, Tan, Wei Qing, Noriszura Ismail

    Published 2024
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  12. 12
    Analyzing enrolment patterns: Stacked ensemble statistical learning-based approach to educational decision making

    Analyzing enrolment patterns: Stacked ensemble statistical learning-based approach to educational decision making by Chuan, Zun Liang, Chong, Teak Wei, Japashov, Nursultan, Soon, Kien Yuan, Tan, Wei Qing, Noriszura, Ismail, Liong, Choong-Yeun, Tan, Ee Hiae

    Published 2023
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  13. 13
    Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making

    Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making by Chuan, Zun Liang, Japashov, Nursultan, Yuan, Soon Kien, Tan, Wei Qing, Noriszura, Ismail

    Published 2024
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  14. 14
    Assessment of near-infrared and mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm plantation

    Assessment of near-infrared and mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm plantation by Liaghat, Shohreh

    Published 2013
    “…Reflectance spectra were pre-processed and principal component analysis (PCA) was performed to obtain PC scores as input features used in different pattern recognition algorithms in order to select the best learning model of Ganoderma discrimination. …”
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  15. 15
    Modifying iEclat algorithm for infrequent patterns mining

    Modifying iEclat algorithm for infrequent patterns mining by Julaily Aida, J., Mustafa, M.

    Published 2018
    “…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
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  16. 16
    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique

    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique by Hamid, Nurul 'Atiqah

    Published 2016
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  17. 17
    An expanded square pattern technique in swarm of quadcopters for exploration algorithm

    An expanded square pattern technique in swarm of quadcopters for exploration algorithm by Zuhri, Muhammad Fuad Reza, Ismail, Amelia Ritahani

    Published 2017
    “…We simulate the swarm-based exploration algorithm with expanded square pattern using a VREP simulator. …”
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  18. 18
    Frequent Lexicographic Algorithm for Mining Association Rules

    Frequent Lexicographic Algorithm for Mining Association Rules by Mustapha, Norwati

    Published 2005
    “…The primary concept of association rule algorithms consist of two phase procedure. In the first phase, all frequent patterns are found and the second phase uses these frequent patterns in order to generate all strong rules. …”
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  19. 19
    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman

    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

    Published 2019
    “…Due to the center biased nature of the videos, the HPSO algorithm uses an initial pattern (hexagon-shaped) to speed up the convergence of the algorithm. …”
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  20. 20
    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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