Search Results - (( developing string (matching OR machine) algorithm ) OR ( java application testing algorithm ))

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    A new text-based w-distance metric to find the perfect match between words by Ali, M., Jung, L.T., Hosam, O., Wagan, A.A., Shah, R.A., Khayyat, M.

    Published 2020
    “…This ambiguity is faced by different distance/similarity functions causing difficulties in finding the perfect match of words. To improve the perfect-match calculation functionality in the traditional k-NN algorithm, a new similarity distance metric is developed and named as word-distance (w-distance). …”
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    Article
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    Employing longest common subsequence method to retrieve translated Al-Quran documents / Muhamad Shamsudin by Shamsudin, Muhamad

    Published 2001
    “…Dynamic programming is introduced to serve as underlying principle for solving problems in different areas such as operations research, computer science, speech processing and string processing. Longest Common Subsequence algorithm (LCS) has been developed to solve string matching problems. …”
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    Thesis
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    Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli by Dzulkifli, Muhammad Zulhilmie

    Published 2021
    “…The main goal of this study is to create an online food ordering app using the corresponding Boyer-Moore string matching algorithm. The application evaluation process is carried out by the developer's functionality test to ensure that there are no unnecessary issues in this app, especially in the main feature. …”
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    Thesis
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    Evaluation of the effectiveness and efficiency of Wagner and Fischer algorithm in retrieving Hadith translated documents / Kamarul Arifin Muhamad by Muhamad, Kamarul Arifin

    Published 2002
    “…This thesis studies the method of a string-searching algorithm. The studies describe features and methods for string searching and comparison using Wagner and Fischer algorithm. …”
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    Thesis
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    A Threshold-Based Combination of String and Semantic Similarity Measures for Record Linkage by Ektefa, Mohammadreza

    Published 2011
    “…For this purpose, string similarity measures are widely utilized for comparing record-pairs in different studies. …”
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    Thesis
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    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern by Angeline Teoh, Szu Fern

    Published 2012
    “…They are Cross Entropy and also Genetic Algorithm. CE is a new algorithm that was recently developed using probability. …”
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    Thesis
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    Web application vulnerabilities detection model by Buja, Alya Geogiana, Abd. Jalil, Kamarularifin, Mohd Ali, Fakariah, Abdul Rahman, Teh Faradilla

    Published 2016
    “…The research will be carried out by using design string matching algorithm. The algorithm is used in order to match the defined criteria of each web vulnerability with the input information about web application. …”
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    Research Reports
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    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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    Final Year Project
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    Heartbeat disease diagnosis using text-based approaches by Khorasani, Ehsan Safar

    Published 2011
    “…The Longest Common Subsequence (LCS) matching algorithm was used for identifying similarities from the database. …”
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    Thesis
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    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application by Yana Aditia, Gerhana, Nur, Lukman, Arief Fatchul, Huda, Cecep Nurul, Alam, Undang, Syaripudin, Devi, Novitasari

    Published 2020
    “…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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    Journal
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    A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining by Jalali, Mehrdad

    Published 2009
    “…The longest common subsequence is a well-known string matching algorithm that we have utilized to find the most similar pattern between a set of navigation patterns and current user activities for creating the recommendations.…”
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    Thesis
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    Analysis of hyperspectral reflectance for disease classification of soybean frogeye leaf spot using Knime analytics by Ang, Yuhao, Mohd Shafri, Helmi Zulhaidi

    Published 2023
    “…This analysis involved the implementation of machine learning (ML) algorithms, including decision trees, random forests, and stacking, to classify soybean FLS severity levels. …”
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    Article
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